Special Issue "Information Analysis and Retrieval in Social Media"
Deadline for manuscript submissions: 31 March 2022.
Interests: text retrieval; IR evaluation; opinion mining; natural language processing
Interests: information retrieval; contextual information access; context modelling; user profiling; social media analytics
Interests: online data; information analysis and retrieval; social media analysis; social computing
Special Issues, Collections and Topics in MDPI journals
We are organizing a Special Issue entitled: "Information Analysis and Retrieval in Social Media" in the journal informatics. This is an international peer-reviewed open access journal on information and communication technologies, human–computer interaction, and social informatics and is published quarterly online by MDPI. For detailed information on the journal, please refer to https://www.mdpi.com/journal/informatics.
The multitude of contents that are generated every day through social platforms confront users with the problem of accessing information relevant to their information needs. Over the years, Information Retrieval has proposed various solutions to help users solve this "information overload" problem; however, the characteristics of the content generated through social media require a new phase of analysis and the development of new solutions.
First of all, social content is produced at a speed and in volumes not comparable to those of traditional content disseminated in the form of Web pages. Secondly, the purposes for which users search on social platforms may be different from those of traditional Web search. It must also be taken into account that the aspect of social relations that connect users in virtual communities and the homophily property that distinguishes users can lead to bias in the information received both from custom search engines and from recommendation systems. Another aspect concerns the fact that the credibility of the content disseminated through social media can hardly be verified, and this is an impacting feature when evaluating the relevance of a search result. Finally, traditional evaluation of IR systems, following the Cranfield paradigm, must take into account the social content characteristics through the test collections and metrics used.
The purpose of this Special Issue is therefore to encourage the study and development of Information Retrieval solutions that consider the peculiarities of the social platforms and the contents generated therein to guarantee users’ access to relevant information.
Dr. Lorraine Goeuriot
Prof. Dr. Gabriella Pasi
Dr. Marco Viviani
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 papers will be 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. Informatics is an international peer-reviewed open access quarterly 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 1400 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.
- information access
- information retrieval
- information overload
- information disorder
- social media
- social search
- evaluations in social search
- multidimensional relevance.