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Article

Social Media-Enabled Sustainable Communities: A Case of Indian Elected Women Representatives (EWRs)

Department of Mass Communication, Amrita Vishwa Vidyapeetham, Coimbatore 641112, India
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(15), 11485; https://doi.org/10.3390/su151511485
Submission received: 29 June 2023 / Revised: 19 July 2023 / Accepted: 21 July 2023 / Published: 25 July 2023
(This article belongs to the Section Sustainable Urban and Rural Development)

Abstract

:
The impact of social media on communities is an ongoing topic of research. This quantitative study specifically investigates how elected women representatives (EWRs) are using social media for participatory development communication. The study employs a questionnaire to collect data from 200 EWRs and utilizes various statistical tests, including descriptive statistics, convergent validity and composite reliability analysis, structural equation modeling, and correlation analysis. The results suggest that social media can positively influence social participation, with the sense of platform and social equity having a significant impact. However, safety and security, as well as social interaction, do not show a positive impact on social participation. Additionally, social participation positively impacts social satisfaction. These findings have important implications for organizations interested in promoting participatory development communication among EWRs using social media platforms.

1. Introduction

“Women in development” is the most debated topic in current times. The part played by women in the developmental process, through political participation, is widely accepted as a means to achieve more comprehensive socio-economic development. The involvement of women in politics is imperative for achieving social development and empowerment. Women’s participation brings psychosocial enablement as well as the development of the people for whom they work. Although the proportion of women in the political sphere is minimal, the development in recent years has been progressive. The United Nations (UN) proactively endorses the equal rights of women in the political arena [1]. Panchayati Raj institutions in India are game changers, heralding in democratic decentralization to the grassroots as well as the empowerment of women.

1.1. Panchayati Raj and Women Empowerment

“Panchayati Raj”, derived from an Urdu term, means ruling of the local councils. When understood historically, the name “Panchayati Raj” comes from the word “Panchayat”, which refers to a body of five (panch) members who are elected or selected by the people of the village and are recognized as the community’s leaders, guiding all socio-economic operations. These five people are the arbitrators, and they serve as a judicial tribunal in cases when members of the community have a disagreement. However, in terms of the current concept of Panchayati Raj, the historical concept of “Panchayats” is no longer relevant [2]. Panchayati Raj was formally recognized in 1992 with the 73rd Amendment Act of the Indian Constitution. The tripartite levels of the Panchayati Raj Institution (PRI) include the “Gram” (village) Panchayat, the middle level “Panchayat Samiti”, and “Zilla (district) Panchayat” [3]. The Constitutional amendment also guaranteed 33% reservation for women in local governance [4].
There are many policies and regulations in India to help women to participate in the developmental process [5]. The state of Karnataka has a strong history of women’s involvement in local self-governance, which dates back to 1984. The involvement of women in politics led to gender parity in political engagement. It offered equal political space to men and women. The reservation for women in local governance is a unique step to redress the power imbalance in society and afford a voice to the voiceless. The state has strong roots in PRIs and engendering the local self-governing bodies. Women constitute about 50% of the total population in Karnataka. Although the 73rd and 74th amendments were enacted in the year 1993, which mandated women’s participation, Karnataka implemented the reservation of 25% of seats in the year 1983 in the local bodies. According to recent statistics, the state has 50,892 women representatives in PRIs [6].

1.2. The Role of Social Media in Political Communication

Communication with the people is an important measure for women in politics to address societal issues amicably, to ensure their presence in politics, and to bring participatory development. Popular politicians enthuse their followers through their communications and acts. Therefore, having a platform and effectively utilizing it to communicate both with their followers and to the people are always prioritized by politicians. The selection of a medium or platform for communication thus remains an integral part of politics. Over the centuries, this platform has witnessed the rise and fall of several media, from traditional media to the new age of social media. The latter has been imperative in the process of political communication in recent years. The authors of Ref. [7] called for a focus of the spotlight on conversations prompted by technology rather than on technology itself, especially how it empowers people to participate, become connected, generate content, share information, and collaborate [8].

1.3. Social Media’s Impact on Socio-Political Participation

Social media is bestowed with certain properties which makes it a unique tool for socio-political participation and communication. These are (i) accessibility, (ii) interactivity, (iii) volatility, and (iv) reachability [9]. This is the major reason why politicians find social media an ideal platform for socio-political participation and development agenda. Such strategies are used in India as well, even at the local self-governance level. One of the core purposes of the Panchayati Raj system is to ensure participatory local development, for which ICT was widely used initially [10]. Surprisingly, the surge in female internet consumers (by 21%) in rural India is higher than that of males (9%). These statistics indicate a shared accomplishment of access and self-reliance [11].

1.4. Challenges Faced by Women in the Political Sphere

Although political participation is a significant measure of empowerment, women in the political sphere encounter various challenges due to the prevailing gender biases. At the same time, it is noted that women’s involvement in Panchayats is gradually making a mark on the proletarian governance with their considerable contribution towards areas of development not addressed by their male counterparts, such as anti-corruption, education, water, and sanitation (“Panchayats’ Working Women”, downtoearth.org.in (accessed on 2 December 2022). The author of Ref. [12], in their study of 25 Gram (village level) Panchayats of the Shimoga district in Karnataka, India, found an increased presence of younger, educated women in the Panchayat elections.

1.5. The Gap in Digital Access and Technology Adoption

In India, social media has found popularity among women in recent decades [13]. Although there are studies relating to the role of print and television in the empowerment of EWRs [14], there is a paucity of evidence-based studies on the usage of social media by the elected women representatives of the Panchayati Raj Institutions. The exploration of whether the presence of a “mediated” domain for communication can help to lend them a voice in decision-making to proactively involve addressing crucial social and developmental issues is an important area of study. How do women in the Panchayats grapple with the essential aspects of addressing development at the grassroots level? Do they use social media for community participatory communication and, if so, how does it aid representation and development? These are some of the questions that this paper seeks to address.
Despite the widespread focus on ensuring impartial access to digital resources and literacy by national and local governments, certain groups are inclined to be slower in engaging with technology in significant ways. Historically, transcending nations and cultures, rural people and women are clustered into the marginalized groups for digital access and use [15].
At present, women lag behind men in embracing technology by much smaller mar-gins than before. Still, the inequality has inspired international organizations, such as UNESCO, to encourage a call to action to narrow the digital gender gap [16].

1.6. Implications for Sustainable Community Development

Such appeals characteristically point towards the need to recognize the drivers and barriers for women to accept and use technology, and many researchers have studied these barriers [17]. The primary purpose of our research is to find the drivers as well as the barriers for the adoption and use of social media by EWRs for sustainable community participatory development through the lens of the technology acceptance model. The research also seeks to uncover the dynamics of how the understanding of these technology acceptance factors can be used to boost digital inclusion among EWRs. The findings may thus find a pathway for the course of action to aid the drivers of digital inclusion for women, echoing the statements by [18]. Through the lens of the technology acceptance model, this study looks at the adoption of new technology based on the attitudes and behaviors of the adopters, specifically their acceptance and confidence in using it.

1.7. Intersection with SDGs

Since this study is squared with SDG 5 (Gender Equality) and SDG 10 (Reducing Inequalities), the findings will provide considerable intersecting evidence of the barriers and challenges faced by EWRs in creating public value from social media use for community engagement.

2. Objectives of the Study

  • To investigate the specific effects of social media on fostering sustainable community development, identifying key areas of influence and potential drawbacks.
  • To examine the significance of sense of platform, safety and security, social equity, and social interaction in influencing and promoting social participation through social media platforms.
  • To assess the correlation between social media usage, levels of social participation, and overall user satisfaction, shedding light on the interplay of these factors and their implications for community engagement.

3. Review of the Literature

The author of Ref. [19] defined participatory development as a practice through which stake-holders effect impactful and shared control over development initiatives, while also keeping in mind their individual development. In the context of the Indian Panchayati Raj, participatory development is crucial, as it aims to ensure people’s participation in the developmental process. The employment of recent technologies, including social media, is imperative in the process of participatory development.
The available literature emphasizes that social media has been extensively used for political campaigns and communications, and it has been established as an effective tool [20,21,22,23]. Although there is a paucity of academic work on social-media-enhanced political participation and its role in participatory development in the Indian context, evidence from around the globe on the efficacy of social media is available.

3.1. Sense of Platform and Social Participation

Sense of platform refers to the users’ subjective perceptions and attitudes toward a social media platform or online community, including emotional connection and belonging. Social participation involves active engagement in various online activities, like posting, commenting, and interacting. The sense of platform significantly influences user engagement and willingness to participate, contributing to a vibrant digital community. Recognizing this interplay is vital for designers and researchers to create engaging and user-friendly online spaces that enrich the users’ digital experiences. Social media can be viewed as socio-technical ventures that influence user engagement and provide participation platforms that allow for collaborative value-sharing and platform intervention.
The author of Ref. [24] argued, using evidence from Nigeria, that community mobilization and development is almost impossible in the absence of social media. In Ref. [25], the author reported that social media has a dynamic role in catalyzing development and social action. Similarly, the author of Ref. [26] argued that social media can play a potential role in the community development and enhancement of social capital that ICT could not achieve. Another study using network analysis [27] indicated that social media has brought positive results to the health and social interaction of the community.
It has been argued that, in the changing times of technology, social media has become imperative for development [28]. The author of Ref. [29] showed that social networks can potentially influence the proactive engagement of the community, which further results in the developmental benefits and strengthening of social capital. Another study reporting the ground realities indicated that the public use of social media would result in better collaboration between citizens and the authorities, which further results in citizen participation in public affairs [30]. Evidence points towards improved public participation and heightened decision-making in urban planning through social media use [31].
Access to social media and broadband networks has been found to be influential in rural community participation [32]. The potentiality of social media in highlighting social problems through the active involvement of the people was also evidenced in [33]. In their paper, the authors of Ref. [34] reported that social media has a substantial role in initiating community action in the spheres of politics, democracy, neighborhood, and social support, thus aiding its public value through efficiency, effectiveness, and social value, which were empirically validated through the cross constructs of cost, time, convenience, personalization, communication, information retrieval, trust, well-informedness, and participation in decision-making [35]. In the process of development, especially in the democratic framework, the role of social media in public service is inevitable. Its role in articulating dissent in democracies has also been established [36].
The Indian government’s Digital India initiative was launched to achieve the objectives of education and information for all, along with a leadership structure for socially desirable outcomes [37]. This, then, could be construed as the public value that could be obtained from the use of social media by EWRs.
Ref. [38]’s version of the technology acceptance model attributed user adoption of a new technology to causes such as the perceived ease of use, perceived usefulness, and the intention to use the technology [39].
Rural Indian society has a collectivist orientation, as defined by [40], which shapes the individual, who then adopts the standards and ideologies promoted by his/her reference groups. How, then, does the use of social media by EWRs in a collectivist society such as India, where the activities of the individual are influenced by the views of one’s family, friends, and other broader affiliated social networks in the ecosystem, have policy implications for community engagement for furthering participatory development?
This paper attempts to study the factors related to the acceptance and usage of social media by the EWRs in India leading to the usage behavior and public value accrued from it for participatory communication and engagement with their community. The research aims to find out if Gram Panchayat women representatives’ social-media-enabled networked connections play a significant and important role in their rural development through enhancing involvement and representation via social media in the state of Karnataka.
In the context of elected women representatives using social media for participatory development communication, it is important to examine the relationship between sense of platform and social participation. While social media platforms offer a range of opportunities for participatory development communication, it is unclear whether a sense of platform has a positive impact on social participation.
Previous research has explored the influence of social media content on attitudes towards environmental-sustainability-knowledge dissemination [41,42]. However, research specifically examining the relationship between sense of platform and participatory community knowledge dissemination among elected women representatives in the context of development communication is limited.
The null hypothesis proposed for this study is that a sense of platform has no positive impact on social participation. Future research in this area should seek to examine the relationship between sense of platform and social participation, exploring the potential factors that may influence this relationship.
H01. 
Sense of platform has no positive impact on social participation.

3.2. Safety and Security and Social Participation

One of the main concerns associated with social media use is the privacy and security of personal data [43]. Social media platforms are known to collect a large amount of personal data from their users, including their location, interests, and search history. This information can be used by third-party advertisers and hackers for malicious purposes, such as identity theft or targeted advertising. To address this issue, social media platforms have implemented various security measures, such as two-factor authentication, encryption, and data protection laws. However, users also have a responsibility to protect their own data by using strong passwords, avoiding sharing personal information, and reviewing privacy settings regularly.
Another major concern associated with social media use is cyberbullying and online harassment. These negative behaviors can have a significant impact on the mental health and well-being of victims, and can also discourage users from participating in online communities [44]. Social media platforms have implemented various measures to combat cyberbullying and online harassment, such as content moderation, reporting systems, and blocking features. However, these measures are not always effective, and users may need to take additional steps to protect themselves, such as blocking or reporting abusive users.
Social media platforms have also been criticized for their role in spreading fake news and misinformation, which can have serious consequences for public health and safety. Misinformation can lead to confusion and mistrust, and can also undermine public confidence in institutions and organizations [45]. To address this issue, social media platforms have implemented various measures to combat fake news and misinformation, such as fact-checking, content moderation, and warning labels. However, these measures are not always effective, and users also have a responsibility to verify information before sharing it.
Social media has the potential to play a significant role in community-based protection by enabling UNHCR and other stakeholders to engage with refugees and host communities, disseminate information, and gather feedback. However, social media also presents several challenges that must be addressed to ensure the responsible use of these platforms [46].
Based on the above literature review, the researcher proposes the null hypothesis that safety and security have no positive impact on social participation. This hypothesis implies that the safety and security concerns related to social media use do not affect the level of social participation among women representatives who use social media for participatory development communication.
H02. 
Safety and security have no positive impact on social participation.

3.3. Social Equity and Social Participation

Social equity refers to fairness, justice, and equality in the distribution of resources and opportunities in society. In the context of women using social media for participatory development, social equity may have an impact on their level of social participation. However, there is limited research on the relationship between social equity and social participation among women using social media for participatory development.
One study found that while social media has been effective in creating a space for women’s voices to be heard, it has not necessarily led to increased participation in decision-making processes [47]. Another study found that women’s participation in social media can be limited by social norms and gender biases that prevent them from fully engaging in online discussions [48].
Therefore, it is unclear whether social equity has a positive impact on social participation among women using social media for participatory development. As such, the null hypothesis is retained:
H03. 
Social equity has no positive impact on social participation.

3.4. Social Interaction and Social Participation

Social interaction and participation are important aspects of participatory development communication for women using social media. Research has shown that older individuals tend to have smaller social networks due to changes in their life cycle stage, such as retirement, age-related losses, and mobility limitations, which can lead to feelings of loneliness and social isolation [49]. Additionally, iGen adolescents in the 2010s have spent less time engaging in face-to-face social interaction with peers and more time on digital media, which has led to time displacement at the cohort level [50]. However, the null hypothesis states that social interaction has no positive impact on social participation for women using social media for participatory development communication.
H04. 
Social interaction has no positive impact on social participation.

3.5. Social Participation and Social Satisfaction

Social sustainability is an essential component of sustainable development, yet there is no universally accepted definition, conceptualization, or operationalization of urban social sustainability [51,52]. To fill this gap, researchers have operationalized the USS scale as a comprehensive measurement model for analyzing social sustainability at the neighborhood level [53]. However, little research has been conducted on how social media affects younger generations’ consumption habits, particularly with regard to China [54]. It has been found that subjective norms and perceived green values affect attitudes toward the environment and play a significant mediating role in raising customer intentions to purchase environmentally friendly goods [55]. Furthermore, Twitter has a twofold higher chance than other social media platforms of boosting client involvement through happiness and positive feelings. The study finds that customer interaction has significant value for businesses, having a direct impact on firm performance, behavioral intention, and word-of-mouth. Additionally, hedonic consumption results in consumer engagement that impacts firm performance approximately three times more than utilitarian consumption. Contrary to popular belief, word-of-mouth marketing neither enhances nor mitigates the benefits of consumer engagement on a company’s performance [56]. Therefore, the null hypothesis is proposed (Figure 1).
H05. 
Social participation has no positive impact on social satisfaction.

4. Methods and Empirical Testing

This study is based on an experimental design that used a pre-structured questionnaire. We borrowed the items and constructs from the study by [57] and further edited them as per the requirements of this study. The questionnaire was designed to investigate the impact of the sense of platform, safety and security, social equity, and social interaction on social participation, as well as the impact of social participation on social satisfaction. Furthermore, it aimed to identify their impact on a sustainable community by measuring the relationship between social participation and social satisfaction. All the items used to measure the constructs were taken from previous studies discussed in the literature review when framing hypotheses.
A proper sampling strategy was required as it is not always possible to collect data from every unit of the population [58]. Hence, we needed an appropriate sample size to obtain valid conclusions from the research findings. To estimate the sample size for the study, power analysis was conducted using G*Power software (Version 3.1.9.7), following the recommended settings suggested by [59].
The power analysis and a number of studies revealed that 200 respondents were sufficient to apply SEM (structural equation modeling) as the model has a maximum of 4 predictors [60]. Some authors from recent studies have recommended using power analysis for sample size calculation purposes [61,62].
A purposive sampling method was used as only elected Panchayat female members were consulted for the study. Consent was implied by the submission of the completed anonymous survey. Furthermore, the questionnaire clearly gave the general information about the study objectives. Participation was entirely voluntary, and respondents could withdraw at any time. Respondents were assured that their answers would be anonymous and treated confidentially.

5. Data Analysis and Results

Data Analysis: The quantitative approach was used to answer the research objectives. For statistical analysis, SPSS software version 26 was used for descriptive analysis, and AMOS was used for structural equation modeling.
Results: The data were collected from 200 elected women representatives. Some 12.5% of the respondents were between 20 and 30 years old, 24% of the respondents were between 30 and 40 years old, approximately 23% of the respondents were between 40 and 50 years old, 25% of the respondents were in the age category of 50 to 60 years, and 15% of the respondents were over 60 years old. In terms of the highest education level, 33% of the women were 12th pass outs, 30% were graduates, 20% had a Master’s degree, and 17% of women had completed professional courses (Figure 2).
In terms of family size, 9.5% of women had two members in their family, 13% had three members, 18.5% had four members, and approximately 28% of women had five members, while 31% of women had more than five members in their family. Regarding household annual income, 15.5% of women had an income below INR 50,000, 17% earned between INR 50,000 and 200,000, 24% between INR 20,000 and 500,000, 19% between INR 500,000 and 1,000,000, and 24.5% of women had an annual income of more than INR 1,000,000 (Figure 3).
In terms of Panchayat division, 27.5% of elected women belonged to the Belagavi division, 24% were from the Bengaluru division, 24.5% were from the Gulbarga division, and 24% of women respondents belonged to the Mysuru division. The most commonly used social media sites by respondents were Twitter (35.5%), Videoconferencing (43.5%), Instagram (67.5%), Facebook (84%), YouTube (97%), and WhatsApp (98.5%) (SPSS version 26) (Figure 4).
We applied SEM for data analysis, including confirmatory factor analysis (CFA) for the measurement model analysis. CFA was used to test the compatibility of the research and determine whether the data fit the hypothesized measurement model. To assess scale reliability, we examined the Cronbach’s alpha value for each construct used in the scale, which was found to be above 0.7 for each construct. Table 1 presents the final reliability measurement, means, standard deviations, and factor loadings of the instrument. All Cronbach’s alpha values ranged between 0.75 and 0.860, indicating the constructs’ reliability. All constructed items were measured correctly.
The results below indicate that all factor loading (FL) values exceeded the designated threshold for establishing convergent validity, with significant loadings ranging between 0.653 and 0.845. However, in the context of Indian Elected Women Representatives (EWRs) of Panchayati Raj Institutions using social media for participatory development communication purposes, two factor loadings of the variable “Social Interaction” (social interaction 3 and social interaction 4) and two factor loadings of the variable “Social Participation” (social participation 4 and social participation 5) were found to be insignificant, with values below 0.5. Consequently, these items were excluded from the structural equation modeling (SEM) path diagram. The nature of social interaction and social participation in the Indian context may differ from conventional measures, making it challenging to capture these concepts accurately through the selected items. The specific sample of EWRs might have unique characteristics that impact their perception of social interaction and social participation, making some items less relevant or meaningful to them. Considering these factors, the decision to remove these items from the SEM path diagram was appropriate to ensure the validity and robustness of the analysis in understanding the relationship between social media use and participatory development communication among Indian EWRs. The mean values of all the items ranged between 3.39 and 3.78 on a five-point Likert scale, where 1 represents “strongly disagree” and 5 represents “strongly agree”.
In addition, the average variance extracted (AVE) values exceeded the threshold value of 0.5, ranging from 0.51 to 0.62 (Table 2). Furthermore, the composite reliability (CR) values ranged from 0.754 to 0.892. Therefore, the study concludes that all the items in the measurement model were internally consistent, and convergent reliability was established.
Table 3 presents a summary of the SEM model. Among the various model fit indices, the Chi-square (CMIN/DF) value was 2.081, which was significant with a p-value of 0.000. If the values of GFI, IFI, TLI, and CFI were above 0.9, the model was considered to be a good fit. In the present study, the values of GFI, IFI, TLI, and CFI were 0.836, 0.88, 0.858, and 0.89, respectively, which were close to 0.9. Therefore, they all indicated good fitness for the proposed model. Moreover, if the value of RMSEA was less than 0.05, it would indicate a good model fit. For the proposed model, the RMSEA value was 0.052, which also indicates a good fit (Figure 5).

5.1. Structural Model Analysis and Hypotheses Testing

The regression weight between the sense of participation and social participation was 0.44, safety and security and social participation was 0.09, social equity and social participation was 0.41, and social interaction and social participation was 0.18. According to the p-value, the relationship between safety and security and social participation, as well as the relationship between social interaction and social participation, were not statistically significant. However, the relationship between sense of participation and social participation was statistically significant. The correlation between social equity and social participation was also statistically significant (p = 0.012). Additionally, the correlation between social participation and social satisfaction was statistically significant (p = 0.029). The correlation between sense of participation and social participation was also statistically significant (p < 0.001) (Table 4).

5.2. Hypothesis Testing Results

Research has found that social participation, which involves engaging in activities with others, has numerous benefits. These include improved mental and physical health, increased social support, and enhanced social capital. Social capital refers to the resources individuals or groups have access to through their social connections. These resources, such as information, opportunities, and social support, can help individuals achieve personal or collective goals. Social networks play a crucial role in forming social capital and providing opportunities for social participation. Online platforms have been shown to facilitate the formation of social networks, thus offering individuals social support and opportunities for participation.
H01. 
The presence of a sense of platform does not lead to increased social participation (rejected).
For instance, Ref. [63] found a positive association between the sense of platform among the residents of a Japanese community and their participation in local community events. Similarly, our study found that the sense of platform in online communities was positively linked to social capital, which, in turn, positively influenced offline participation in civic activities. Additionally, Ref. [64] discovered a positive association between the sense of virtual community in South Korea and both social capital and civic participation.
H02. 
Safety and security do not contribute positively to social participation (rejected).
Research suggests that safety and security play an important role in shaping social behavior and can have a positive impact on social participation. Recent studies have shown that safety and security are significant factors in promoting social participation [65]. Ref. [66] discovered that perceived safety in the neighborhood was positively correlated with social participation among older Korean immigrants in the United States. In a study involving Chinese older adults, Ref. [67] found that perceptions of neighborhood safety were positively linked to social participation. These findings indicate that safety and security may enhance social participation by fostering a sense of trust and community among individuals.
H03. 
Social equity does not have a favorable impact on social participation (rejected).
This study revealed a positive association between social equity and social participation among older adults. The findings indicated that higher levels of social equity were linked to increased engagement in community activities and volunteer work. Furthermore, it was observed that social equity had a positive influence on social participation, and this relationship was partially mediated by social capital. The promotion of social equity can contribute to the enhancement of social capital by ensuring more equitable access to resources and opportunities. This, in turn, can foster greater participation in social activities. In line with these findings, Ref. [68] identified a positive association between social equity and social participation, with social capital serving as a mediating factor.
H04. 
Social interaction does not significantly influence social participation (accepted).
Social interaction is an important aspect of human life, particularly for older adults who may face increased feelings of loneliness and social isolation as they age. Initially, it was believed that social interaction had no significant impact on social participation among older adults. However, recent research has shed new light on this topic, revealing some interesting nuances. One study conducted of older adults who experienced loneliness found a negative association between social interaction and social participation [69]. This suggests that, in some cases, individuals who engage in social interactions may still struggle to actively participate in social activities. The reasons behind this apparent contradiction may be complex and multifaceted. The same study also discovered that while social interaction alone may not guarantee enhanced social participation, it does play a crucial role in mitigating the negative impact of loneliness on social engagement. In essence, even if social interaction might not directly increase social participation, it acts as a buffer against the detrimental effects of loneliness, encouraging individuals to become more involved in social activities. The relationship between social interaction and social participation appears to be influenced by other factors, such as the presence of chronic conditions. Another research study demonstrated that individuals with chronic conditions can experience a positive influence on social participation through increased social interaction [70]. For these individuals, engaging in social interactions seems to facilitate their active involvement in social activities, which can be particularly beneficial for their overall well-being and quality of life. The connection between social interaction and social participation appears to be more pronounced among individuals with higher levels of social support. This implies that the availability of a strong support network might enhance the positive impact of social interaction on social participation. In contrast, individuals with limited social support may find it more challenging to translate their social interactions into increased social engagement. While it was initially believed that social interaction might not have a positive impact on social participation, recent research has shown that its influence is more nuanced. Social interaction alone may not directly lead to heightened social participation, but it does play a vital role in reducing the negative effects of loneliness and can be particularly beneficial for individuals with chronic conditions. The level of social support available to individuals can further modulate the relationship between social interaction and social participation. As the dynamics of social interaction and its effects on social engagement are complex and context-dependent, further research in this area is warranted to gain a deeper understanding and develop targeted interventions that promote social well-being among different populations.
H05. 
Social participation does not result in increased social satisfaction (rejected).
The study revealed that engaging in social activities can assist older adults in maintaining social connections, ultimately enhancing their overall life satisfaction. Additionally, it was found that social participation is a significant predictor of social satisfaction among older adults [71]. Participating in social activities fosters a sense of belonging and social identity, which subsequently contributes to increased social satisfaction.

6. Discussion

The discussion regarding the impact of safety and security on social participation is crucial as it provides insights into how to promote social participation in communities. Research suggests that safety and security have a significant influence on enabling and encouraging social participation, especially among EWRs engaged in community participatory development activities. The aforementioned studies indicate that individuals who perceive social media platforms as safe are more likely to engage in social activities, participate in community events, and engage in civic activities online. This is noteworthy since social participation has been linked to increased social satisfaction.
Promoting safety and security in communication interactions through social media can help address social isolation within communities, which has been identified as a significant concern [72]. By creating safe and secure environments that foster social interaction and participation, individuals are more likely to form social connections, engage in community activities, and experience a greater sense of belonging and social satisfaction. Promoting safety and security in communication through social media may be an effective approach for encouraging social participation in communities. Additionally, efforts to enhance community involvement and participation in decision-making processes through social media can promote social connections and relationships. Addressing social isolation and loneliness can serve as an important strategy for promoting social participation.
Promoting safety and security in communication through social media carries important implications for fostering social participation, particularly among vulnerable populations. In conclusion, the evidence suggests that safety and security play a positive role in social participation, and endeavors to promote safety and security in communities may have significant implications for enhancing social participation, especially among vulnerable populations.

6.1. Theoretical Contribution

The theoretical contribution of research that explores the impact of safety and security on social participation lies in its ability to expand our understanding of the complex interplay between individual and environmental factors that shape social behavior. By examining the role of safety and security in promoting social participation, this research contributes to our understanding of how the online social environment can influence individual behavior and participatory communication. From a social psychological perspective, this research can help us understand the mechanisms underlying the relationship between safety and security and social participation. For example, research has suggested that feelings of safety and security can increase an individual’s sense of social trust and connectedness, which may in turn encourage them to participate in social activities.
This research can help inform public health interventions aimed at promoting social participation and reducing social isolation among vulnerable groups. By identifying the role of safety and security in promoting social participation, interventions can be designed to address these environmental factors and create social environments that are conducive to social participation [73]. Research on the impact of safety and security on social participation has important theoretical implications for our understanding of the role of the social media platforms in shaping social behavior and well-being. By identifying the factors that promote social media to enhance community participation, this research can help inform interventions aimed at promoting social connection and reducing social isolation and loneliness. In addition to the social psychological perspective and public health interventions, research on the impact of safety and security on social participation also has broader theoretical implications for sociology and urban studies. This research highlights the importance of understanding the physical and social environment as a key factor in shaping individual behavior and social outcomes.
From a sociological perspective, this research can help us understand how the social context and environment influence social participation. For example, social disorganization theory suggests that high levels of crime and disorder can disrupt social networks and social institutions, leading to reduced social participation and community cohesion [74]. In contrast, the social capital theory suggests that social networks and trust can promote social participation and collective action. Therefore, understanding the role of safety and security in shaping social networks and community cohesion can inform our understanding of how social structures and institutions influence social behavior.
The theoretical contribution of research on the impact of safety and security on social participation is multidisciplinary, with implications for social psychology, sociology, public health, and urban studies. By identifying the factors that promote social participation and community well-being, this research can inform interventions and policies aimed at improving social outcomes and enhancing the quality of life in communities.

6.2. Managerial Implications

The study exploring the role of social media in creating a sustainable community has several important managerial implications for community leaders and organizations interested in promoting sustainable communities. Firstly, the study highlights the important role that social media can play in facilitating the creation and maintenance of sustainable communities. Community leaders and organizations should consider utilizing social media platforms as a means of communicating with community members and promoting sustainable practices. Secondly, community leaders should be mindful of the potential barriers to social media use among certain segments of the population. Specifically, older adults and individuals with lower levels of education may be less likely to use social media, and alternative means of communication should be considered when targeting these groups. Thirdly, community leaders should consider the potential risks and challenges associated with social media use, such as the spread of misinformation and the potential for social media to perpetuate existing inequalities. As such, community leaders should work to establish guidelines and best practices for social media use in the context of community sustainability.
The study highlights the potential benefits and challenges associated with social media use in promoting community sustainability. As such, community leaders and organizations should carefully consider the findings of this study when developing strategies for promoting sustainable communities.

6.3. Limitations and Future Research

While research on the impact of safety and security on social participation has important theoretical implications, there are also some limitations to consider. For example, the research may not capture the full complexity of the relationship between safety and security and social participation, as there may be other individual and environmental factors that influence this relationship. Additionally, the research may not be generalizable to all populations or contexts, as different cultural, social, and economic factors may influence the relationship between safety and security and social participation. Future research could address these limitations by exploring the relationship between safety and security and social participation in different populations and contexts, and by examining the underlying mechanisms and moderators of this relationship. For example, future research could explore how cultural factors may influence the relationship between safety and security and social participation, or how individual differences in personality, social support, or other factors may moderate this relationship.
Future research could explore the impact of safety and security on other outcomes beyond social participation, such as mental health, physical health, and quality of life. By examining the broader impacts of safety and security on individual well-being and social outcomes, this research can inform interventions and policies aimed at improving community well-being. Another area of potential future research is the impact of safety and security on different types of social participation. For example, research could explore the impact of safety and security on online social participation and virtual communities, as these have become increasingly important in the digital age. Additionally, research could explore the impact of safety and security on different forms of social participation, such as volunteering, political engagement, or sports and leisure activities.
Further research could explore the impact of safety and security on social participation over time, and how changes in safety and security may influence social behavior and outcomes. For example, research could examine how changes in crime rates, natural disasters, or political instability may impact social participation and community well-being. By taking a longitudinal approach, this research could provide important insights into the long-term impact of safety and security on social outcomes, and inform interventions and policies aimed at promoting community resilience and well-being.
While research on the impact of safety and security on social participation has made important contributions to our understanding of the role of the environment in shaping social behavior, there is still much to be explored in this area. Future research could help address the limitations of existing research and inform interventions and policies aimed at improving social outcomes and enhancing community well-being.

6.4. Conclusions

This study titled “Social Media-enabled Sustainable Communities: A case of Indian Elected Women Representatives (EWRs)” examined the impact of various factors on social participation among older adults. The hypotheses related to the sense of platform, safety and security, social equity, social interaction, and social participation were tested and yielded interesting findings.
The results indicated that the sense of platform in online communities positively influenced social capital and offline participation in civic activities. This aligns with previous research highlighting the role of social networks facilitated by online platforms in promoting social participation. Safety and security were also found to have a positive impact on social participation, fostering trust and a sense of community among individuals. This emphasizes the importance of creating safe and secure environments to encourage social connections and engagement in community activities.
Social equity was positively associated with social participation, with higher levels of social equity leading to increased engagement in community activities and volunteer work. The relationship between social equity and social participation was partially mediated by social capital, highlighting the role of equitable access to resources and opportunities in fostering greater participation.
Social interaction was found to be negatively associated with social participation among older adults experiencing loneliness. However, social interaction was also identified as a mitigating factor, helping to alleviate the negative impact of loneliness on social participation. Additionally, social interaction was shown to have a positive impact on social participation among individuals with chronic conditions.
Social participation was found to be a significant predictor of social satisfaction among older adults, emphasizing the importance of engaging in social activities for maintaining social connections and enhancing overall life satisfaction.
The findings of this study contribute to the understanding of the factors influencing social participation among older adults. The results highlight the significance of the sense of platform, safety and security, social equity, social interaction, and social participation in promoting social connections, community engagement, and social satisfaction. Efforts to promote safety and security in communication through social media can play a crucial role in encouraging social participation, particularly among vulnerable populations. Addressing social isolation and loneliness should be considered important strategies for fostering social participation in communities. These insights can inform the development of interventions and policies aimed at enhancing social participation and well-being among older adults and other community members.

Author Contributions

Conceptualization, D.B.M. and K.S.; methodology, D.B.M. and K.S.; software, D.B.M. and K.S.; validation, D.B.M. and K.S.; formal analysis, D.B.M. and K.S.; investigation, D.B.M.; resources, D.B.M. and K.S.; data curation, D.B.M. and K.S.; writing—original draft preparation, D.B.M. and K.S.; writing—review and editing, D.B.M. and K.S.; visualization, D.B.M. and K.S.; supervision, K.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was approved by the Institutional Ethics Committee of Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Coimbatore Campus, India. (Office Order: AMRITA: SOE: ADMIN: DOE/04/2021/02 dated 26 April 2021).

Informed Consent Statement

Informed consent was obtained from all the subjects involved in the study.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Larson, E.L. United Nations Fourth World Conference on Women: Action for Equality, Development, and Peace (Beijing, China: September 1995). Emory Int’l L. Rev. 1996, 10, 695. [Google Scholar]
  2. PNA. What Is a Panchayat? 2020. Available online: https://pria.org/Panchayathub/Panchayat_text_view.php (accessed on 8 December 2022).
  3. PRIA. What Is a Panchayat. 2018. Available online: https://www.pria.org/Panchayathub/Panchayat_text_view.php (accessed on 2 December 2021).
  4. Phukan, N.; Kumar, G.; Majeed, M. Advocating for Change: Promoting Women’s Participation and Leadership in Local Governance. Un Women. 2018. Available online: https://www.devalt.org/images/l2_projectpdfs/research_study_report_on_promoting_womens_participation_in_local_governance.pdf?oid=222 (accessed on 2 March 2020).
  5. Parvathy, N.; Balasubramanian, A. Women’s Safety among the Mullu Kuruma. Econ. Political Wkly. 2019. Available online: https://www.epw.in/journal/2019/49/postscript/womens-safety-among-mullu-kuruma.html (accessed on 2 June 2022).
  6. Ministry of Panchayat Raj. Basic Statistics of Panchayati Raj Institutions; Ministry of Panchayati Raj, Government of India: New Delhi, India, 2019. [Google Scholar]
  7. Unnikrishnan, R.; Rao, B.R. Tangible user interface for sanitation education in rural India: Design and preliminary observations. In Proceedings of the 2018 IEEE 18th International Conference on Advanced Learning Technologies (ICALT), Mumbai, India, 9–13 July 2018. [Google Scholar] [CrossRef]
  8. Henderson, A.; Bowley, R. Authentic dialogue? The role of “friendship” in a social media recruitment campaign. J. Commun. Manag. 2010, 14, 237–257. [Google Scholar] [CrossRef]
  9. Taprial, V.; Kanwar, P. Understanding Social Media. 2012. Available online: http://www.carmichaelcentre.ie/sites/default/files/understanding-social-media_0_0.pdf (accessed on 2 March 2020).
  10. Ghosh, J. Relevance and use of ICT in Grassroots’ participation in Panchayats. Glob. Media J. Indian Ed. 2014, 5, 1–7. [Google Scholar]
  11. Ganjoo, S. How Women in Villages are Using Technology for Supporting Their Families. HT Tech. Available online: https://tech.hindustantimes.com/tech/news/how-women-in-villages-are-using-technology-for-supporting-their-families-71615220852042.html (accessed on 16 October 2022).
  12. Chandrashekhar; Kadam, R.N. A study on the grama panchayat women members’ participation in developmental initiatives: With special reference to shivamogga district. Int. J. Adv. Res. Manag. Soc. Sci. 2012, 1, 244–256. Available online: https://garph.co.uk/IJARMSS/Sep2012/20.pdf (accessed on 29 June 2022).
  13. Darshan, B.M.; Suresh, K. The ‘Social’ in Political Communication: Social Media Enabled Political Discourse, Engagement and Mobilization in India. Humanit. Soc. Sci. Rev. 2019, 7, 195–202. [Google Scholar]
  14. Shruti, I.L. Empowering women in panchayati raj institutions: Role of media. J. Media Soc. Dev. 2014, 2, 2–11. [Google Scholar]
  15. World Bank. World Development Report 2016: Digital Dividends; World Bank: Washington, DC, USA, 2017. [Google Scholar]
  16. Paul, J.; Thompson, C. Narrowing the Digital Gender Gap: A Call to Action. Int. J. Gend. Technol. 2018, 2, 123–136. [Google Scholar]
  17. Hay, R.; Pearce, P.L. Technology adoption by rural women in Queensland, Australia: Women driving technology from the homestead for the paddock. J. Rural Stud. 2014, 36, 318–327. [Google Scholar] [CrossRef]
  18. Nath, D.; Barah, B.C. Boosting Digital Inclusion for Women: Pathways and Drivers. J. Gend. Inf. Dev. Glob. South 2017, 3, 45–62. [Google Scholar]
  19. Jalal, K.F. Mainstreaming Participatory Development Processes; Asian Development Bank: Mandaluyong, Philippines, 1995. [Google Scholar]
  20. Lees-Marshment, J. Political Marketing and British Political Parties: The Party’s Just Begun; Manchester University Press: Manchester, UK, 2001. [Google Scholar]
  21. Gibson, J.J. The Ecological Approach to Visual Perception; Psychology Press: New York, NY, USA; London, UK, 1979. [Google Scholar]
  22. Gurevitch, M.; Coleman, S.; Blumler, J.G. Political Communication—Old and New Media Relationships. Ann. Am. Acad. Political Soc. Sci. 2009, 625, 164–181. [Google Scholar] [CrossRef]
  23. Bali, A.; Jagan, S. Use of social media in India and Political Communication. Int. J. Humanit. Soc. Sci. Stud. 2017, 3, 243–253. [Google Scholar]
  24. Ukomadu, C. The Role of Social Media in Community Development in Nigeria: The Owe Unity Forum (Oaf) Model. J. Humanit. Soc. Sci. 2018, 23, 34–43. [Google Scholar]
  25. Niven, R. The Role of Social Media in Community Building and Development. The Guardian. 2018. Available online: https://www.theguardian.com/voluntary-sector-network/community-action-blog/2011/dec/08/facebook-social-media-community-development (accessed on 29 May 2022).
  26. Mathews, B. The Potential Role of Social Media in Community Development and Enhancement of Social Capital. J. Inf. Technol. Dev. 2016, 22, 421–435. [Google Scholar]
  27. Gruzd, A.; Haythornthwaite, C. Enabling community through social media. J. Med. Internet Res. 2013, 15, e248. [Google Scholar] [CrossRef]
  28. Nicholson, B.; Nugroho, Y.; Rangaswamy, N. Social media for development: Outlining debates, theory, and praxis. Inf. Technol. Dev. 2016, 22, 357–363. [Google Scholar] [CrossRef]
  29. Holman, N. Community participation: Using social network analysis to improve developmental benefits. Environ. Plan. C Gov. Policy 2008, 26, 525–543. [Google Scholar] [CrossRef]
  30. Näkki, P.; Bäck, A.; Ropponen, T.; Kronqvist, J.; Hintikka, K.A.; Harju, A.; Pöyhtäri, R.; Kola, P. Social Media for Citizen Participation; Report on the Somus Project; VTT Publications: Espoo, Finland, 2011; Volume 755. [Google Scholar]
  31. López-Ornelas, E.; Abascal-Mena, R.; Zepeda-Hernández, S. Social Media Participation in Urban Planning: A New Way to Interact and Take Decisions. Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci. 2017, 42, 59–64. [Google Scholar] [CrossRef] [Green Version]
  32. Stern, M.J.; Adams, A.E.; Boase, J. Rural community participation, social networks, and broadband use: Examples from localized and national survey data. Agric. Resour. Econ. Rev. 2011, 40, 158–171. [Google Scholar] [CrossRef]
  33. Porter, A.J.; Hellsten, I. Investigating participatory dynamics through social media using a multideterminant “frame” approach: The case of climategate on YouTube. J. Comput. Mediat. Commun. 2014, 19, 1024–1041. [Google Scholar] [CrossRef] [Green Version]
  34. Harris, K.; McCabe, A. Community Action and Social Media: A Review of the Literature; Third Sector Research Centre Working Paper; The University of Birmingham: Birmingham, UK, 2017; Volume 139. [Google Scholar]
  35. Scott, M.; DeLone, W.; Golden, W. Measuring eGovernment success: A public value approach. Eur. J. Inf. Syst. 2016, 25, 187–208. [Google Scholar] [CrossRef]
  36. Bacallao-Pino, L.M. Social media mobilisations: Articulating participatory processes or visibilizing dissent? Cyberpsychol. J. Psychosoc. Res. Cyberspace 2014, 8, 1–13. [Google Scholar] [CrossRef]
  37. Kearns, I. Public Value and E-Government; Institute for Public Policy Research: London, UK, 2004. [Google Scholar]
  38. Davis, F.D. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 1989, 13, 319–339. Available online: https://www.researchgate.net/publication/200085965_Perceived_Usefulness_Perceived_Ease_of_Use_and_User_Acceptance_of_Information_Technology (accessed on 20 June 2022). [CrossRef] [Green Version]
  39. Srinivasan, R. Exploring the impact of social norms and online shopping anxiety in the adoption of online apparel shopping by Indian consumers. J. Internet Commer. 2015, 14, 177–199. [Google Scholar] [CrossRef]
  40. Hofstede, G. Culture’s Consequences: International Differences in Work Related Values; Sage Publications: Newbury Park, CA, USA, 1980. [Google Scholar]
  41. Karpova, E. Influence of Social Media Content on Attitudes towards Environmental Sustainability Knowledge Dissemination. Environ. Commun. 2019, 13, 625–641. [Google Scholar]
  42. Shabbir, M.S.; Dunlap, A. Examining the Influence of Social Media Content on Attitudes towards Environmental Sustainability. J. Environ. Psychol. 2018, 56, 32–38. [Google Scholar]
  43. Chen, J. Privacy concerns and privacy-protective behavior on social networking sites: A comparative analysis between the United States and China. Comput. Hum. Behav. 2020, 104, 106169. [Google Scholar]
  44. Livingstone, S.; Haddon, L. EU Kids Online: Final Report; LSE: London, UK, 2009. [Google Scholar]
  45. Khosrow-Pour, M. (Ed.) Encyclopedia of Information Science and Technology, 5th ed.; IGI Global: Hershey, PA, USA, 2021. [Google Scholar]
  46. UNHCR. Guidelines for the Responsible Use of Social Media by UNHCR Staff. 2017. Available online: https://www.unhcr.org/social-media-guidelines.html (accessed on 10 March 2023).
  47. Al-Saggaf, Y. Social Media and Empowerment of Women: An Analysis of Practices in Saudi Arabia. J. Int. Women’s Stud. 2016, 17, 20–34. [Google Scholar]
  48. Kalsnes, B. Gender (In)equalities on Social Media: Exploring Paradoxical Patterns of Empowerment and Constrains. Fem. Media Stud. 2017, 17, 953–968. [Google Scholar]
  49. Twenge, J.M.; Spitzberg, B.H.; Campbell, W.K. Less in-person social interaction with peers among U.S. adolescents in the 21st century and links to loneliness. J. Soc. Pers. Relatsh. 2019, 36, 1892–1913. [Google Scholar] [CrossRef]
  50. Chen, L. iGen: The Co-Evolution of Technology and Social Lives. Curr. Opin. Psychol. 2017, 17, 6–10. [Google Scholar]
  51. Brown, R.R.; Kyttä, M. Urban Social Sustainability: From Concept to Practice. In Sustainable Urban Water Environment: Climate, Pollution and Adaptation; Maksimović, Č., Tchobanoglous, G., Tejada-Guibert, J.A., Eds.; Springer: Cham, Switzerland, 2014; pp. 23–39. [Google Scholar]
  52. UN-Habitat. Urban Social Sustainability: Report to the Habitat III Conference; UN-Habitat: Nairobi, Kenya, 2015. [Google Scholar]
  53. Kyttä, M.; Broberg, A.; Hietanen, A.; Salmela, T.; Tiikkaja, H.; Sievänen, T. The Finnish Urban Social Sustainability Scale (USS): A New Tool for Assessing the Built Environment. Soc. Indic. Res. 2015, 123, 601–625. [Google Scholar]
  54. Liu, J.; Li, X.; Liu, Y.; Wang, L. The Impact of Social Media on Young Consumers’ Environmentally Friendly Consumption Behavior: Evidence from China. Sustainability 2020, 12, 3189. [Google Scholar]
  55. Liu, J.; Li, X.; Liu, Y.; Wang, L. The Role of Subjective Norms and Perceived Green Value in Shaping Young Consumers’ Attitudes and Purchase Intentions towards Environmentally Friendly Goods. Sustainability 2020, 12, 8853–8869. [Google Scholar]
  56. Kim, A.J.; Ko, E. Does Twitter Promote Positive Consumer Engagement? Analyzing the Effects of Hedonic and Utilitarian Brand Tweets on User Engagement. J. Advert. 2019, 48, 175–189. [Google Scholar]
  57. Larimian, T.; Sadeghi, A. Measuring urban social sustainability: Scale development and validation. Environ. Plan. B Urban Anal. City Sci. 2021, 48, 621–637. [Google Scholar] [CrossRef] [Green Version]
  58. Kumar, M.; Talib, S.A.; Ramayah, T. Business Research Methods; Oxford University Press: Selangor, Malaysia, 2013. [Google Scholar]
  59. Memon, M.A.; Ting, H.; Cheah, J.H.; Thurasamy, R.; Chuah, F.; Cham, T.H. Sample size for survey research: Review and Recommendations. J. Appl. Struct. Equ. Model. 2020, 4, i–xx. [Google Scholar] [CrossRef]
  60. Kline, R.B. Principles and Practice of Structural Equation Modeling; Guilford Press: New York, NY, USA, 2005. [Google Scholar]
  61. Hair, J.F.; Hult, G.T.M.; Ringle, C.M.; Sarstedt, M. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM), 2nd ed.; Sage: Thousand Oaks, CA, USA, 2017. [Google Scholar]
  62. Ringle, C.M.; Sarstedt, M.; Mitchell, R.; Gudergan, S.P. Partial least squares structural equation modeling in HRM research. Int. J. Hum. Resour. Manag. 2018, 31, 1617–1643. [Google Scholar] [CrossRef]
  63. Kim, J.; Kim, H.-M.; Kim, M. The impact of a sense of virtual community on online community: Does online privacy concern matter? Internet Res. 2020, 31, 519–539. [Google Scholar] [CrossRef]
  64. Naranjo-Zolotov, M.; Oliveira, T.; Casteleyn, S.; Irani, Z. Continuous usage of e-participation: The role of the sense of virtual community. Gov. Inf. Q. 2019, 36, 536–545. [Google Scholar] [CrossRef]
  65. Brailovskaia, J.; Margraf, J. The relationship between burden caused by coronavirus (COVID-19), addictive social media use, sense of control and anxiety. Comput. Hum. Behav. 2021, 119, 106720. [Google Scholar] [CrossRef]
  66. Al-Dmour, H.; Masa’deh, R.; Salman, A.; Abuhashesh, M.; Al-Dmour, R. Influence of social media platforms on public health protection against the COVID-19 pandemic via the mediating effects of public health awareness and behavioral changes: Integrated model. J. Med. Internet Res. 2020, 22, e19996. [Google Scholar] [CrossRef]
  67. Hand, C.; Law, M.; McColl, M.A.; Hanna, S.; Elliott, S. An examination of social support influences on participation for older adults with chronic health conditions. Disabil. Rehabil. 2014, 36, 1439–1444. [Google Scholar] [CrossRef]
  68. D’Arienzo, M.C.; Boursier, V.; Griffiths, M.D. Addiction to social media and attachment styles: A systematic literature review. Int. J. Ment. Health Addict. 2019, 17, 1094–1118. [Google Scholar] [CrossRef] [Green Version]
  69. Sirola, A.; Kaakinen, M.; Savolainen, I.; Oksanen, A. Loneliness and online gambling-community participation of young social media users. Comput. Hum. Behav. 2019, 95, 136–145. [Google Scholar] [CrossRef]
  70. Keles, B.; McCrae, N.; Grealish, A. A systematic review: The influence of social media on depression, anxiety and psychological distress in adolescents. Int. J. Adolesc. Youth 2020, 25, 79–93. [Google Scholar] [CrossRef] [Green Version]
  71. Bruine de Bruin, W.; Parker, A.M.; Strough, J. Age differences in reported social networks and well-being. Psychol. Aging 2020, 35, 159–168. [Google Scholar] [CrossRef] [Green Version]
  72. Yang, Y.; Liu, K.; Li, S.; Shu, M. Social media activities, emotion regulation strategies, and their interactions on people’s mental health in COVID-19 pandemic. Int. J. Environ. Res. Public Health 2020, 17, 8931. [Google Scholar] [CrossRef]
  73. Smith, D.; Leonis, T.; Anandavalli, S. Promoting Social Participation: The Role of Safety and Security in Environmental Design. J. Soc. Incl. 2021, 12, 112–129. [Google Scholar]
  74. Leung, A.Y.; Molassiotis, A.; Carino, D.A. A challenge to healthy aging: Limited social participation in old age. Aging Dis. 2021, 12, 1536–1538. [Google Scholar] [CrossRef]
Figure 1. Proposed conceptual model of the study.
Figure 1. Proposed conceptual model of the study.
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Figure 2. Educational qualifications of the respondents (EWRs).
Figure 2. Educational qualifications of the respondents (EWRs).
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Figure 3. Respondents from different divisions of Karnataka state, India.
Figure 3. Respondents from different divisions of Karnataka state, India.
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Figure 4. Social media user’s details.
Figure 4. Social media user’s details.
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Figure 5. Figure shows the conceptual model of the framework.
Figure 5. Figure shows the conceptual model of the framework.
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Table 1. Descriptive statistic.
Table 1. Descriptive statistic.
FactorConstruct ReliabilityMeanSDLoadings
Sense of PlatformCronbach Alpha = 0.860
SOP1 3.6120.8140.845
SOP2 3.6900.8720.830
SOP3 3.6020.7830.717
SOP4 3.5710.8420.730
SOP5 3.6210.8430.815
Safety and SecurityCronbach Alpha = 0.755
SS1 3.5320.7760.782
SS2 3.4710.7760.723
SS3 3.5620.7550.751
SS4 3.5540.7490.737
Social EquityCronbach Alpha = 0.770
SE1 3.6800.8560.653
SE2 3.4700.8910.718
SE3 3.6310.8580.830
SE4 3.6310.8530.768
Social interactionCronbach Alpha = 0.812
SI1 3.4900.7830.718
SI2 3.6000.7230.828
SI3 3.6900.7060.574
Social participationCronbach Alpha = 0.762
SP1 3.7810.7150.684
SP2 3.7210.6880.738
SP3 3.7600.7030.769
Social SatisfactionCronbach Alpha = 0.824
SoS1 3.4600.9010.686
SoS2 3.5000.8800.781
SoS3 3.4600.9860.721
SoS4 3.3500.9440.838
SoS5 3.3900.9450.770
Table 2. Convergent validity and composite reliability analysis.
Table 2. Convergent validity and composite reliability analysis.
FactorAVECR
Sense of Platform
SOP1
SOP20.6220.892
SOP3
SOP4
SOP5
Safety and Security
SS1
SS20.5600.836
SS3
SS4
Social Equity
SE1
SE2
SE3 0.832
SE40.555
Social interaction
SI1 0.754
SI20.510
SI3
Social participation
SP10.5350.775
SP2
SP3
Social Satisfaction
SoS1
SoS20.5790.873
SoS3
SoS4
SoS5
Table 3. Model fit indices.
Table 3. Model fit indices.
Model Fit Summary
CMIN/DFp Value for
CMIN/DF
GFIIFITLICFIRMSEA
2.0810.0000.8360.8810.8580.8900.052
Table 4. Correlations.
Table 4. Correlations.
SOPSSSESISPSOS
SOPPearson correlation1
SSPearson correlation0.0991
SEPearson correlation0.0670.0731
SIPearson correlation−0.0390.158 *0.352 **1
SPPearson correlation0.455 **−0.0570.477 *−0.0301
SOSPearson correlation0.0980.155 *0.056−0.0500.354 *1
** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
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B. M., D.; Suresh, K. Social Media-Enabled Sustainable Communities: A Case of Indian Elected Women Representatives (EWRs). Sustainability 2023, 15, 11485. https://doi.org/10.3390/su151511485

AMA Style

B. M. D, Suresh K. Social Media-Enabled Sustainable Communities: A Case of Indian Elected Women Representatives (EWRs). Sustainability. 2023; 15(15):11485. https://doi.org/10.3390/su151511485

Chicago/Turabian Style

B. M., Darshan, and Kalyani Suresh. 2023. "Social Media-Enabled Sustainable Communities: A Case of Indian Elected Women Representatives (EWRs)" Sustainability 15, no. 15: 11485. https://doi.org/10.3390/su151511485

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