%0 Conference Paper %1 Kulshrestha:2016:MMI:2818052.2874354 %A Kulshrestha, Juhi %B Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion %C New York, NY, USA %D 2016 %I ACM %K behaviour_studies information_diet recommendation_system social_media %P 159--162 %R 10.1145/2818052.2874354 %T Measuring and Managing Information Diets of Social Media Users: Research Overview %U http://doi.acm.org/10.1145/2818052.2874354 %X The widespread adoption of social media like Twitter and Facebook has lead to a paradigm shift in the way our so-ciety 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 infor-mation diet – which is the composition of a set of informa-tion items being produced or consumed. Information diets can be constructed along many aspects like topics (eg. pol-itics, 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 me-dia users’ diets to design better information discovery and exchange systems over social media. %@ 978-1-4503-3950-6

@inproceedings{Kulshrestha:2016:MMI:2818052.2874354, abstract = {The widespread adoption of social media like Twitter and Facebook has lead to a paradigm shift in the way our so-ciety 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 infor-mation diet – which is the composition of a set of informa-tion items being produced or consumed. Information diets can be constructed along many aspects like topics (eg. pol-itics, 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 me-dia users’ diets to design better information discovery and exchange systems over social media.}, acmid = {2874354}, added-at = {2016-03-07T08:47:42.000+0100}, address = {New York, NY, USA}, author = {Kulshrestha, Juhi}, biburl = {https://www.bibsonomy.org/bibtex/2027ea6dcf5a23432608a0bec65749333/hangdong}, booktitle = {Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing Companion}, description = {Measuring and Managing Information Diets of Social Media Users}, doi = {10.1145/2818052.2874354}, interhash = {1d5e430bf08a613a1c0b47bb6c339647}, intrahash = {027ea6dcf5a23432608a0bec65749333}, isbn = {978-1-4503-3950-6}, keywords = {behaviour_studies information_diet recommendation_system social_media}, location = {San Francisco, California, USA}, numpages = {4}, pages = {159--162}, publisher = {ACM}, series = {CSCW '16 Companion}, timestamp = {2016-03-07T08:47:42.000+0100}, title = {Measuring and Managing Information Diets of Social Media Users: Research Overview}, url = {http://doi.acm.org/10.1145/2818052.2874354}, year = 2016 }