SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls
3 references·16 citing·47 second hop
Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls (2014)Big Questions for Social Media Big Data: …CRITICAL QUESTIONS FOR BIG DATA (2012)CRITICAL QUESTIONS FOR BIG DA…Computational Social Science (2009)Computational Social ScienceModel systems in developmental biology (1995)Model systems in developmenta…Misinformation on Misinformation: Conceptual and Methodological Challenges (2023)Misinformation on Misinformat…Towards a standard for identifying and managing bias in artificial intelligence (2022)Towards a standard for identi…Showing They Care (Or Don’t): Affective Publics and Ambivalent Climate Activism on TikTok (2021)Showing They Care (Or Don’t):…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention (2019)The role of digital influence…Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Social Data: Biases, Methodol…Fake news on Twitter during the 2016 U.S. presidential election (2019)Fake news on Twitter during t…Algorithms at Work: The New Contested Terrain of Control (2019)Algorithms at Work: The New C…Social Media data: Challenges, opportunities and limitations in urban studies (2018)Social Media data: Challenges…Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign (2018)Analyzing the Digital Traces …Social media analytics – Challenges in topic discovery, data collection, and data preparation (2017)Social media analytics – Chal…SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours (2017)SemEval-2017 Task 8: RumourEv…Data ex Machina: Introduction to Big Data (2017)Data ex Machina: Introduction…A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism (2016)A comparative analysis of maj…Social media for large studies of behavior (2014)Social media for large studie…The Strength of Weak Ties (1973)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)Birds of a Feather: Homophily in Social Networks (2001)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study (2008)A 61-million-person experiment in social influence and political mobilization (2012)Private traits and attributes are predictable from digital records of human behavior (2013)Structural Topic Models for Open‐Ended Survey Responses (2014)Information Systems Success: The Quest for the Dependent Variable (1992)Big data: a revolution that will transform how we live, work, and think (2013)Bibliometrics of social media research: A co-citation and co-word analysis (2017)Big data in tourism research: A literature review (2018)Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews (2018)Designing and Conducting Mixed Methods Research (2010)Constructing grounded theory (2014)Detection and Resolution of Rumours in Social Media (2018)A Survey of Fake News (2020)Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges (2023)Analyzing the Past to Prepare for the Future: Writing a Literature Review (2002)Users of the world, unite! The challenges and opportunities of Social Media (2009)Disaster City Digital Twin: A vision for integrating artificial and human intelligence for disaster management (2019)Using Data Sciences in Digital Marketing: Framework, methods, and performance metrics (2020)Why do small and medium enterprises use social media marketing and what is the impact: Empirical insights from India (2020)The case for motivated reasoning. (1990)Social Media and Fake News in the 2016 Election (2017)The spread of true and false news online (2018)Susceptibility to misinformation about COVID-19 around the world (2020)The Psychology of Fake News (2021)The psychological drivers of misinformation belief and its resistance to correction (2022)Fairness through awareness (2012)Semantics derived automatically from language corpora contain human-like biases (2017)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)Algorithmic Bias in Education (2021)Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation (2023)Fairness and Bias in Artificial Intelligence: A Brief Survey of Sources, Impacts, and Mitigation Strategies (2023)The Theory of Social and Economic Organization. (1948)Structural Holes (1992)The future of employment: How susceptible are jobs to computerisation? (2016)To Engage or Not to Engage with AI for Critical Judgments: How Professionals Deal with Opacity When Using AI for Medical Diagnosis (2022)A multilevel review of artificial intelligence in organizations: Implications for organizational behavior research and practice (2023)When and How Artificial Intelligence Augments Employee Creativity (2023)A Framework of Potential Sources of Harm Throughout the Machine Learning Life Cycle (2021)Six Human-Centered Artificial Intelligence Grand Challenges (2023)
this work references cited by second hop

References

  • 2012CRITICAL QUESTIONS FOR BIG DATA5,449 cited
  • 2009Computational Social Science3,359 cited
  • 1995Model systems in developmental biology292 cited

Cited by

  • 2021A Survey on Bias and Fairness in Machine Learning5,798 cited
  • 2019Algorithms at Work: The New Contested Terrain of Control2,709 cited
  • 2019Fake news on Twitter during the 2016 U.S. presidential election1,802 cited
  • 2016A comparative analysis of major online review platforms: Implications for social media analytics in hospitality and tourism1,056 cited
  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,040 cited
  • 2017Social media analytics – Challenges in topic discovery, data collection, and data preparation806 cited
  • 2019Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries762 cited
  • 2014Social media for large studies of behavior647 cited
  • 2022Towards a standard for identifying and managing bias in artificial intelligence541 cited
  • 2019The role of digital influencers in brand recommendation: Examining their impact on engagement, expected value and purchase intention530 cited
  • 2018Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign353 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2021Showing They Care (Or Don’t): Affective Publics and Ambivalent Climate Activism on TikTok349 cited
  • 2018Social Media data: Challenges, opportunities and limitations in urban studies327 cited
  • 2017SemEval-2017 Task 8: RumourEval: Determining rumour veracity and support for rumours323 cited
  • 2023Misinformation on Misinformation: Conceptual and Methodological Challenges307 cited
  • 2017Data ex Machina: Introduction to Big Data304 cited