10,938 research outputs found
Tweeting the Mind and Instagramming the Heart: Exploring Differentiated Content Sharing on Social Media
Understanding the usage of multiple OSNs (Online Social Networks) has been of
significant research interest as it helps in identifying the unique and
distinguishing trait in each social media platform that contributes to its
continued existence. The comparison between the OSNs is insightful when it is
done based on the representative majority of the users holding active accounts
on all the platforms. In this research, we collected a set of user profiles
holding accounts on both Twitter and Instagram, these platforms being of
prominence among a majority of users. An extensive textual and visual analysis
on the media content posted by these users revealed that both these platforms
are indeed perceived differently at a fundamental level with Instagram engaging
more of the users' heart and Twitter capturing more of their mind. These
differences got reflected in almost every microscopic analysis done upon the
linguistic, topical and visual aspects.Comment: 4 pages, 8 figure
Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives
How did the popularity of the Greek Prime Minister evolve in 2015? How did
the predominant sentiment about him vary during that period? Were there any
controversial sub-periods? What other entities were related to him during these
periods? To answer these questions, one needs to analyze archived documents and
data about the query entities, such as old news articles or social media
archives. In particular, user-generated content posted in social networks, like
Twitter and Facebook, can be seen as a comprehensive documentation of our
society, and thus meaningful analysis methods over such archived data are of
immense value for sociologists, historians and other interested parties who
want to study the history and evolution of entities and events. To this end, in
this paper we propose an entity-centric approach to analyze social media
archives and we define measures that allow studying how entities were reflected
in social media in different time periods and under different aspects, like
popularity, attitude, controversiality, and connectedness with other entities.
A case study using a large Twitter archive of four years illustrates the
insights that can be gained by such an entity-centric and multi-aspect
analysis.Comment: This is a preprint of an article accepted for publication in the
International Journal on Digital Libraries (2018
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