Information Behaviors: Social Media Challenges and Analytics

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".

Deadline for manuscript submissions: 31 January 2026 | Viewed by 512

Special Issue Editor


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Guest Editor

Special Issue Information

Dear Colleagues,

In the rapidly evolving landscape of digital communication, the interplay between individuals' information behaviors and the analytical tools applied to social media data has become a focal point of research and exploration. Thus, we are pleased to announce a call for papers for an upcoming Special Issue of Information that looks into the intriguing intersection of information behaviors, social media, challenges, and analytics.

In today's interconnected world, social media platforms serve as dynamic spaces where users engage in diverse information behaviors, such as information seeking, sharing, and sense making. These behaviors, in turn, generate vast amounts of data that are increasingly analyzed through sophisticated techniques and algorithms. Understanding the symbiotic relationship between information behaviors and social media analytics is crucial for comprehending the profound impact of digital communication on society.

This Special Issue aims to bring together researchers from various disciplines to explore and discuss the multifaceted aspects of this intriguing interconnection. From the patterns of information diffusion in online communities to the ethical considerations surrounding social media analytics, this Special Issue ultimately seeks to unravel the complexities inherent in the digital era.

Therefore, the aim of this Special Issue is to publish original papers from various disciplines related to practices, experiences, case studies, or theoretical studies that, through quantitative, qualitative, or mixed methodologies, provide original insights on (but are not limited to) the following:

  • User behavior analysis on social media platforms;
  • Information diffusion and sharing patterns in online communities;
  • Methodologies for studying information behaviors in the context of social media;
  • Impact of social media analytics on decision-making processes;
  • User privacy and security issues in the era of big data and social media;
  • Emerging technologies and tools for social media analytics;
  • The role of sentiment analysis in understanding user attitudes on social platforms.

Prof. Dr. Yair Galily
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • social media
  • technology
  • information era
  • challenges
  • knowledge
  • networks
  • digital communication
  • fake news

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Published Papers (1 paper)

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Research

11 pages, 316 KiB  
Article
The Effect of Technical Fouls on Momentum Change in Basketball: A Comparison of Regular Season vs. Playoffs in the NBA
by Gershon Tenenbaum, Yaniv K. Maymon, Tomer Ben-Zion and Assaf Lev
Information 2025, 16(4), 307; https://doi.org/10.3390/info16040307 - 13 Apr 2025
Viewed by 314
Abstract
Spanning two decades (2000–2021), this study delves into how TF-induced momentum shifts differ between regular season and playoff matchups, factoring in home-court advantage and team score status at the time of the call. Analyzing 4196 cases of technical fouls (TFs) called against coaches, [...] Read more.
Spanning two decades (2000–2021), this study delves into how TF-induced momentum shifts differ between regular season and playoff matchups, factoring in home-court advantage and team score status at the time of the call. Analyzing 4196 cases of technical fouls (TFs) called against coaches, we employ big data analytics to uncover distinct patterns in momentum shifts and their strategic implications. Using advanced statistical modeling, we identify how these effects vary across game contexts, demonstrating how big data enhances decision-making in competitive sports. Logistic regression revealed a significant season-by-location interaction (p < 0.03). The findings revealed that, in the regular season, TFs in home games were associated with a 44%-win rate, compared to 28% in away games. However, in the playoffs, this shifted to 50% at home and 23% away. These results provide valuable insights into the TF–momentum shift phenomenon. Leveraging game analytics to identify patterns in TF-related momentum shifts can help coaches make more informed decisions, including pinpointing the optimal moments for TFs and other strategic actions. Full article
(This article belongs to the Special Issue Information Behaviors: Social Media Challenges and Analytics)
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