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Measuring and Managing Information Diets of Social Media Users : Research Overview.

. CSCW Companion, page 159-162. ACM, (2016)

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Characterizing Information Diets of Social Media Users., , , , and . CoRR, (2017)Who are the users of ChatGPT? Implications for the digital divide from web tracking data., , , , , and . CoRR, (2023)Deep Twitter diving: exploring topical groups in microblogs at scale., , , , , , and . CSCW, page 197-210. ACM, (2014)Media Bias Monitor: Quantifying Biases of Social Media News Outlets at Large-Scale., , , , , , and . ICWSM, page 290-299. AAAI Press, (2018)Geographic Dissection of the Twitter Network., , , and . ICWSM, The AAAI Press, (2012)Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data., , , , and . CoRR, (2020)Analyzing Biases in Perception of Truth in News Stories and Their Implications for Fact Checking., , , , , and . IEEE Trans. Comput. Soc. Syst., 9 (3): 839-850 (2022)Novelty in news search: a longitudinal study of the 2020 US elections., , , and . CoRR, (2022)Where the earth is flat and 9/11 is an inside job: A comparative algorithm audit of conspiratorial information in web search results., , , and . Telematics Informatics, (2022)Quantifying & characterizing information diets of social media users.. Saarland University, Germany, (2018)