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Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites
16 references·16 citing·46 second hopsampled
Is Bigger Always Better? Potential Biases of Big Data Derived from Social Network Sites (2015)Is Bigger Always Better? Potential Biases…The cultural environment: measuring culture with big data (2014)The cultural environment: mea…Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach (2013)Personality, Gender, and Age …Big data: a revolution that will transform how we live, work, and think (2013)Big data: a revolution that w…"Raw Data" Is an Oxymoron (2013)"Raw Data" Is an OxymoronCRITICAL QUESTIONS FOR BIG DATA (2012)CRITICAL QUESTIONS FOR BIG DA…Twitter mood predicts the stock market (2011)Twitter mood predicts the sto…Succinct Survey Measures of Web-Use Skills (2011)Succinct Survey Measures of W…Digital Literacy and Privacy Behavior Online (2011)Digital Literacy and Privacy …Connection strategies: Social capital implications of Facebook-enabled communication practices (2011)Connection strategies: Social…Predicting the Future with Social Media (2010)Predicting the Future with So…Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment (2010)Predicting Elections with Twi…Computational Social Science (2009)Computational Social ScienceDigital Inequality (2008)Digital InequalityMemory Practices in the Sciences (2007)Memory Practices in the Scien…Gender and the Internet: Causes of Variation in Access, Level, and Scope of Use* (2005)Gender and the Internet: Caus…The Strength of Weak Ties (1973)The Strength of Weak TiesTrade-offs between machine learning and deep learning for mental illness detection on social media (2025)Trade-offs between machine le…Future Protest Made Risky: Examining Social Media Based Civil Unrest Prediction Research and Products (2021)Future Protest Made Risky: Ex…Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research (2021)Excavating awareness and powe…Analysing global professional gender gaps using LinkedIn advertising data (2021)Analysing global professional…Accessibility and generalizability: Are social media effects moderated by age or digital literacy? (2021)Accessibility and generalizab…Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data (2020)Toward Data Sense-Making in D…Techno-optimism and policy-pessimism in the public sector big data debate (2019)Techno-optimism and policy-pe…Characterizing Political Talk on Twitter: A Comparison Between Public Agenda, Media Agendas, and the Twitter Agenda with Regard to Topics and Dynamics (2019)Characterizing Political Talk…Socioeconomic Inequalities in the Non use of Facebook (2018)Socioeconomic Inequalities in…Shared contexts, shared background, shared values – Homophily in Finnish parliament members’ social networks on Twitter (2018)Shared contexts, shared backg…“Big Data” in Economic History (2018)“Big Data” in Economic HistoryStudying the Digital: Directions and Challenges for Digital Methods (2017)Studying the Digital: Directi…WITHDRAWN: Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions (2016)WITHDRAWN: Information fusion…Our research’s breadth lives on convenience samples A case study of the online respondent pool “SoSci Panel” (2016)Our research’s breadth lives …Beyond the Belmont Principles (2016)Beyond the Belmont PrinciplesBeyond “J-Tweeters” (2016)Beyond “J-Tweeters”Writing Culture (1986)Writing Culture: The Poetics and Politics of Ethnography (1986)Big Data, new epistemologies and paradigm shifts (2014)Datafication, dataism and dataveillance: Big Data between scientific paradigm and ideology (2014)Algorithms at Work: The New Contested Terrain of Control (2019)The political blogosphere and the 2004 U.S. election (2005)The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods (2009)Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data (2014)Network analysis reveals open forums and echo chambers in social media discussions of climate change (2015)The Development and Psychometric Properties of LIWC2015 (2015)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)American behavioral scientist (1995)Technology and Social Inclusion (2003)Gradations in digital inclusion: children, young people and the digital divide (2007)Digital Na(t)ives? 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References

  • 1973The Strength of Weak Ties40,446 cited
  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 2011Twitter mood predicts the stock market5,204 cited
  • 2013Big data: a revolution that will transform how we live, work, and think3,631 cited
  • 2009Computational Social Science3,359 cited
  • 2010Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment2,649 cited
  • 2010Predicting the Future with Social Media2,080 cited
  • 2013Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach1,700 cited
  • 2011Connection strategies: Social capital implications of Facebook-enabled communication practices1,349 cited
  • 2008Digital Inequality1,251 cited
  • 2013"Raw Data" Is an Oxymoron1,163 cited
  • 2007Memory Practices in the Sciences435 cited
  • 2011Digital Literacy and Privacy Behavior Online420 cited
  • 2014The cultural environment: measuring culture with big data319 cited
  • 2011Succinct Survey Measures of Web-Use Skills288 cited
  • 2005Gender and the Internet: Causes of Variation in Access, Level, and Scope of Use*

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285 cited

Cited by

  • 2016Beyond the Belmont Principles171 cited
  • 2016Our research’s breadth lives on convenience samples A case study of the online respondent pool “SoSci Panel”157 cited
  • 2017Studying the Digital: Directions and Challenges for Digital Methods128 cited
  • 2019Techno-optimism and policy-pessimism in the public sector big data debate104 cited
  • 2018“Big Data” in Economic History63 cited
  • 2025Trade-offs between machine learning and deep learning for mental illness detection on social media60 cited
  • 2021Analysing global professional gender gaps using LinkedIn advertising data49 cited
  • 2021Accessibility and generalizability: Are social media effects moderated by age or digital literacy?35 cited
  • 2016WITHDRAWN: Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions35 cited
  • 2019Characterizing Political Talk on Twitter: A Comparison Between Public Agenda, Media Agendas, and the Twitter Agenda with Regard to Topics and Dynamics34 cited
  • 2018Socioeconomic Inequalities in the Non use of Facebook32 cited
  • 2018Shared contexts, shared background, shared values – Homophily in Finnish parliament members’ social networks on Twitter32 cited
  • 2021Excavating awareness and power in data science: A manifesto for trustworthy pervasive data research32 cited
  • 2021Future Protest Made Risky: Examining Social Media Based Civil Unrest Prediction Research and Products30 cited
  • 2020Toward Data Sense-Making in Digital Health Communication Research: Why Theory Matters in the Age of Big Data26 cited
  • 2016Beyond “J-Tweeters”23 cited