Abstract
The widespread adoption of social media like Twitter and Facebook has lead to a paradigm shift in the way our society is producing and consuming information, from the broadcast mass media to online social media. To study the effects of this paradigm shift, we define the concept of information diet-which is the composition of a set of information items being produced or consumed. Information diets can be constructed along many aspects like topics (eg. politics, sports, science etc), or perspectives (eg. politically left leaning or right leaning), or sources (eg. originating from different parts of the world). We use information diets to measure the diversity and bias in the information produced or consumed, and to study how the recommendation and search systems are shaping the diets of social media users. We leverage the insights we gain from analysing social media users' diets to design better information discovery and exchange systems over social media.
Original language | English |
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Title of host publication | Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion, CSCW 2016 Companion |
Publisher | ACM |
Pages | 159-162 |
Number of pages | 4 |
ISBN (Electronic) | 9781450339506 |
DOIs | |
Publication status | Published - 27 Feb 2016 |
MoE publication type | A4 Conference publication |
Event | ACM Conference on Computer-Supported Cooperative Work and Social Computing - San Francisco, United States Duration: 27 Feb 2016 → 2 Mar 2016 Conference number: 19 |
Conference
Conference | ACM Conference on Computer-Supported Cooperative Work and Social Computing |
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Abbreviated title | CSCW |
Country/Territory | United States |
City | San Francisco |
Period | 27/02/2016 → 02/03/2016 |
Keywords
- Information diets
- Search and recommendation systems
- Social media
- Topic inference for Tweets