Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries

Olteanu, Alexandra, Castillo, Carlos, Diaz, Fernando, Kiciman, Emre·2016·Frontiers in Big Data
DOI 10.2139/ssrn.2886526

Cites (308)

Items 201–308 of 308

  1. Enhancing credibility judgment of web search results
    Yamamoto, Yusuke, Tanaka, Katsumi · 2011 · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  2. Of Pins and Tweets: Investigating How Users Behave Across Image- and Text-Based Social Networks
    Ottoni, Raphael, Las Casas, Diego, Pesce, João Paulo, Meira Jr., Wagner, Wilson, Christo, Mislove, Alan, Almeida, Virgilio · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  3. From classification to quantification in tweet sentiment analysis
    Gao, Wei, Sebastiani, Fabrizio · 2016 · Social Network Analysis and Mining
  4. Dirty Rotten Strategies: How We Trick Ourselves and Others into Solving the Wrong Problems Precisely
    Abraham Silvers, Ian I. Mitroff · 2009 · Medical Entomology and Zoology
  5. Confronting the data-divide in a time of spatial turns and volunteered geographic information
    Jonathan Cinnamon, Nadine Schuurman · 2012 · GeoJournal
  6. Causal discovery in social media using quasi-experimental designs
    Oktay, Hüseyin, Taylor, Brian J., Jensen, David D. · 2010 · Proceedings of the First Workshop on Social Media Analytics
  7. Geolocation for Twitter: Timing Matters
    Mark H. Dredze, Miles Osborne, Prabhanjan Kambadur · 2016 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  8. Two 1%s don't make a whole: comparing simultaneous samples from twitter's streaming api
    Joseph, Kenneth, Landwehr, Peter M., Carley, Kathleen M. · 2014 · Lecture Notes in Computer Science
  9. #mytweet via Instagram
    Bang Hui Lim, Dongyuan Lü, Tao Chen, Min‐Yen Kan · 2015 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
  10. Untitled work
    Burnett · 2015 · 10.1145/2785956.2787485
  11. Accepting the challenges of social media research
    Katrin Weller · 2015 · Online Information Review
  12. I’m the Mayor of My House: Examining Why People Use Foursquare - A Social-Driven Location Sharing Application
    Janne Lindqvist, Justin Cranshaw, Jason Wiese · 2012
  13. Measuring search engine bias
    Mowshowitz, Abbe, Kawaguchi, Akira · 2005 · Information Processing & Management
  14. The Geography and Importance of Localness in Geotagged Social Media
    Johnson, Isaac L., Sengupta, Subhasree, Schöning, Johannes, Hecht, Brent · 2016 · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
  15. The Law and Ethics of Experiments on Social Media Users
    James Grimmelmann · 2017
  16. How Community Feedback Shapes User Behavior
    Justin S. Cheng, Cristian Danescu-Niculescu-Mizil, Jure Leskovec · 2014 · arXiv (Cornell University)
  17. Twitter data: What do they represent?
    Axel Bruns, Stefan Stieglitz · 2014 · it - Information Technology
  18. More Voices Than Ever? Quantifying Media Bias in Networks
    Yu‐Ru Lin, James P. Bagrow, David M. J. Lazer · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  19. Quantifying and Reducing Stereotypes in Word Embeddings
    Tolga Bolukbasi, Kai-Wei Chang, James Zou, Venkatesh Saligrama, Adam Tauman Kalai · 2016 · OpenBU (Boston University)
  20. Toward a semantic granularity model for domain-specific information retrieval
    Yan, Xin, Lau, Raymond Y.K., Song, Dawei, Li, Xue, Ma, Jian · 2011 · ACM Transactions on Information Systems
  21. Assessing the Bias in Communication Networks Sampled from Twitter
    Sandra González-Bailón, Ning Wang, A. Rivero, J. Borge-Holthoefer, Y. Moreno · 2012 · arXiv.org
  22. Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter
    James McCorriston, David Jurgens, Derek A. Ruths · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  23. On the validity of geosocial mobility traces
    Zhang, Zengbin, Zhou, Lin, Zhao, Xiaohan, Wang, Gang, Su, Yu, Metzger, Miriam, Zheng, Haitao, Zhao, Ben Y. · 2013 · Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks
  24. Analyzing Biases in Human Perception of User Age and Gender from Text
    Lucie Flek, Jordan M. Carpenter, Salvatore Giorgi, Lyle Ungar, Daniel Preoțiuc-Pietro · 2016 · Proceedings of the conference - Association for Computational Linguistics. Meeting
  25. Design and Analysis of Experiments in Networks: Reducing Bias from Interference
    Eckles, Dean, Karrer, Brian, Ugander, Johan · 2017 · Journal of Causal Inference
  26. Extracting Diurnal Patterns of Real World Activity from Social Media
    Nir Grinberg, Mor Naaman, Blake Shaw · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  27. Twitter's Glass Ceiling: The Effect of Perceived Gender on Online Visibility
    Nilizadeh, Shirin, Groggel, Anne, Lista, Peter, Das, Srijita, Ahn, Yong-Yeol, Kapadia, Apu, Rojas, Fabio · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  28. You Tweet What You Eat: Studying Food Consumption Through Twitter
    Sofiane Abbar, Yelena Mejova, Ingmar G. Weber · 2014 · arXiv (Cornell University)
  29. Computational social science and social computing
    Winter Mason, Jennifer Wortman Vaughan, Hanna Wallach · 2013 · Machine Learning
  30. Characterizing the Demographics Behind the #BlackLivesMatter Movement
    Olteanu, Alexandra, Weber, Ingmar, Gatica-Perez, Daniel · 2015 · arXiv
  31. Identifying platform effects in social media data
    Malik, Momin, Pfeffer, Jürgen · 2016 · Proceedings of the International AAAI Conference on Web and Social Media
  32. Using matched samples to estimate the effects of exercise on mental health from twitter
    Virgile Landeiro, Aron Culotta · 2015 · National Conference on Artificial Intelligence
  33. Testing propositions derived from twitter studies: generalization and replication in computational social science
    Liang, Hai, Fu, King-wa · 2015 · PLOS ONE
  34. Gender bias in open source: Pull request acceptance of women versus men
    Josh Terrell, Andrew Kofink, Justin Middleton · 2016
  35. Exploring Time-Dependent Concerns about Pregnancy and Childbirth from Search Logs
    Fourney, Adam, White, Ryen W., Horvitz, Eric · 2015 · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
  36. Graph cluster randomization: network exposure to multiple universes
    Johan H. Ugander, Brian Karrer, Lars Bäckström, Jon Michael Kleinberg · 2013 · arXiv (Cornell University)
  37. Computational social science
    Adam Mann · 2016 · Proceedings of the National Academy of Sciences
  38. The Length of Bridge Ties: Structural and Geographic Properties of Online Social Interactions
    Yana Volkovich, Salvatore Scellato, David Laniado, Cecilia Mascolo C, Andreas Kaltenbrunner · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  39. Overview of the Special Issue on Trust and Veracity of Information in Social Media
    Symeon Papadopoulos, Kalina Bontcheva, Eva Jaho, Mihai Lupu, Carlos Castillo · 2016 · ACM Transactions on Information Systems
  40. Emotional states vs. emotional words in social media
    Beasley, Asaf, Mason, Winter · 2015 · Proceedings of the ACM Web Science Conference
  41. Crowdsourced Health: How What You Do on the Internet Will Improve Medicine
    Yom-Tov, Elad · 2016
  42. Information verification during natural disasters
    Abdulfatai Popoola, Dmytro Krasnoshtan, Attila-Péter Tóth, Victor Naroditskiy, Carlos Castillo, Patrick P. Meier, Iyad Rahwan · 2013 · International World Wide Web Conference (WWW)
  43. Sentiment analysis on evolving social streams: how self-report imbalances can help
    Guerra, Pedro Calais, Meira, Wagner, Cardie, Claire · 2014 · Proceedings of the 7th ACM international conference on Web search and data mining
  44. Recommended for you
    Konstan, Joseph A., Riedl, John · 2012 · IEEE Spectrum
  45. Extracting Human Temporal Orientation from Facebook Language
    H. Andrew Schwartz, Gregory Park, Maarten Sap, Evan Weingarten, johannes Christopher Eichstaedt, Margaret L. Kern, David J. Stillwell, Michał Kosiński, Jonah A. Berger, Martin E. P. Seligman et al. · 2015 · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
  46. Robust Text Classification in the Presence of Confounding Bias
    Landeiro, Virgile, Culotta, Aron · 2016 · Proceedings of the AAAI Conference on Artificial Intelligence
  47. OMG, I Have to Tweet that! A Study of Factors that Influence Tweet Rates
    Emre Kıcıman · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  48. The Friendship Paradox and Systematic Biases in Perceptions and Social Norms
    Matthew O. Jackson · 2016 · SSRN Electronic Journal
  49. Online Media Forums as Separate Social Lives: A Qualitative Study of Disclosure Within and Beyond Reddit
    Martin Shelton, Katherine Lo, Bonnie Anna Nardi · 2015 · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
  50. More Voices Than Ever? Quantifying Media Bias in Networks
    Yu‐Ru Lin, James P. Bagrow, David M. J. Lazer · 2011 · arXiv (Cornell University)
  51. Learning Semantic Relationships between Entities in Twitter
    Ilknur Celik, Fabian Abel, Geert‐Jan Houben · 2011 · Lecture notes in computer science
  52. Technical Limitations for Designing Applications for Social Media
    Christian Reuter, Simon Scholl · 2014 · Oldenbourg Wissenschaftsverlag eBooks
  53. Effects of temporal correlations in social multiplex networks
    Michele Starnini, Andrea Baronchelli, Romualdo Pastor‐Satorras · 2017 · Scientific Reports
  54. Write like i write: Herding in the language of online reviews
    Michael, Loizos, Otterbacher, Jahna · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  55. "I Didn't Sign Up for This!": Informed Consent in Social Network Research
    Luke Hutton, Tristan Henderson · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  56. Adaptive method for following dynamic topics on twitter
    Magdy, Walid, Elsayed, Tamer · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  57. What's in a @name? How Name Value Biases Judgment of Microblog Authors
    Aditya Pal, Scott Counts · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  58. ''Will Check-in for Badges'': Understanding Bias and Misbehavior on Location-Based Social Networks
    Gang Wang, Sarita Yardi Schoenebeck, Hai-Tao Zheng, Ben Y. Zhao · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  59. Toward Reproducibility in Online Social Network Research
    Luke Hutton, Tristan Henderson · 2015 · IEEE Transactions on Emerging Topics in Computing
  60. Codified Hashtags for Weather Warning on Twitter: an Italian Case Study
    Valentina Grasso, Alfonso Crisci · 2016 · PLoS Currents
  61. Uncovering the Challenges in Collection, Sharing and Documentation: The Hidden Data of Social Media Research?
    Katrin Weller, Katharina E. Kinder-Kurlanda · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  62. From “I Love You Babe” to “Leave Me Alone” - Romantic Relationship Breakups on Twitter
    Venkata Rama Kiran Garimella, Ingmar G. Weber, Sonya Dal Cin · 2014 · Lecture notes in computer science
  63. Does ‘bigger’ mean ‘better’? Pitfalls and shortcuts associated with big data for social research
    Paolo Giardullo · 2015 · Quality & Quantity
  64. Balancing privacy versus accuracy in research protocols
    Goroff, Daniel L. · 2015 · Science
  65. Computational social science
    Scott Counts, Munmun De Choudhury, Jana Diesner · 2014
  66. Networked Employment Discrimination
    Rosenblat, Alex, Kneese, Tamara, <!>boyd, <!>danah · 2014 · SSRN Electronic Journal
  67. External validity of sentiment mining reports: can current methods identify demographic biases, event biases, and manipulation of reviews?
    Wijnhoven, Fons, Bloemen, Oscar · 2014 · Decision Support Systems
  68. Errors in systems approaches
    Kevin MacG. Adams, Patrick T. Hester · 2012 · International Journal of System of Systems Engineering
  69. Exponential Reservoir Sampling for Streaming Language Models
    Miles Osborne, Ashwin Lall, Benjamin Van Durme · 2014 · Annual Meeting of the Association for Computational Linguistics (ACL)
  70. Big Data, Machine Learning, and the Social Sciences: Fairness, Accountability, and Transparency
    Hanna Wallach · 2014
  71. Effects of disaster characteristics on twitter event signature
    Saleem, Haji Mohammad, Xu, Yishi, Ruths, Derek · 2014 · Procedia Engineering
  72. Towards robust and scalable peer-to-peer social networks
    Olteanu, Alexandra, Pierre, Guillaume · 2012 · Proceedings of the Fifth Workshop on Social Network Systems
  73. Detecting duplicate web documents using clickthrough data
    Radlinski, Filip, Bennett, Paul N., Yilmaz, Emine · 2011 · Proceedings of the fourth ACM international conference on Web search and data mining
  74. Supporting Ethical Web Research
    Anne Bowser, Janice Tsai · 2015 · International World Wide Web Conference (WWW)
  75. Crowdsourced Health: How What You Do on the Internet Will Improve Medicine
    Elad Yom‐Tov · 2016
  76. Is Oprah Contagious? Identifying Demand Spillovers in Online Networks
    Eyal Carmi, Gal Oestreicher-Singer, Arun Sundararajan · 2010 · SSRN Electronic Journal
  77. On Predicting Deletions of Microblog Posts
    Mossaab Bagdouri, Douglas W. Oard · 2015
  78. Distinguishing between Personal Preferences and Social Influence in Online Activity Feeds
    Amit Sharma, D. Cosley · 2016 · Conference on Computer Supported Cooperative Work
  79. Worst Practices for Designing Production Information Access Systems
    Diaz, Fernando · 2016 · ACM SIGIR Forum
  80. Understanding Website Behavior based on User Agent
    Kien Pham, Aécio S. R. Santos, Juliana Freire · 2016 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  81. How annotation styles influence content and preferences
    Cheng, Justin, Cosley, Dan · 2013 · Proceedings of the 24th ACM Conference on Hypertext and Social Media
  82. Language Differences and Metadata Features on Twitter
    Emre Kıcıman · 2010
  83. When POS data sets don’t add up: Combatting sample bias
    Hovy, Dirk, Plank, Barbara, Søgaard, Anders · 2014 · Proceedings of the Language Resources and Evaluation Conference
  84. How Twitter is Changing the Nature of Financial News Discovery
    Mark H. Dredze, Prabhanjan Kambadur, Gary Kazantsev · 2016
  85. Predicting the Future with Social Media
    Sitaram Asur, Bernardo A. Huberman · 2010
  86. On the Behaviour of Deviant Communities in Online Social Networks
    Mauro Coletto, Luca Maria Aiello, Claudio Lucchese, Fabrizio Silvestri · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  87. Reducing Offline Evaluation Bias in Recommendation Systems
    Arnaud De Myttenaere, Bénédicte Le Grand, Boris Golden · 2014 · arXiv (Cornell University)
  88. American Anthropological Association Statement on Ethnography and Institutional Review Boards
    2004 · PsycEXTRA Dataset
  89. Usage Data in Web Search: Benefits and Limitations
    Ricardo A. Baeza-Yates, Yoelle Maarek · 2012 · Lecture notes in computer science
  90. What’s in a Username? Identity Cue Effects in Social Media
    Taylor, Sean J., Muchnik, Lev, Aral, Sinan · 2014
  91. Untitled work
    2016 · SSRN Electronic Journal
  92. Efficient Filtering on Hidden Document Streams
    Eduardo J. Ruiz, Vagelis Hristidis, Panagiotis G. Ipeirotis · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  93. Measuring Social Jetlag in Twitter Data
    Tatjana Scheffler, Christopher C. M. Kyba · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  94. The Psychology of Job Loss: Using Social Media Data to Characterize and Predict Unemployment
    Davide Proserpio, Scott Counts, Apurv Jain · 2016 · SSRN Electronic Journal
  95. Effects of Sampling on Twitter Trend Detection
    Andrew Yates, Alek Kolcz, Nazli Goharian, Ophir Frieder · 2016 · Language Resources and Evaluation Conference (LREC)
  96. On Unravelling Opinions of Issue Specific-Silent Users in Social Media
    Wei Gong, Ee‐Peng Lim, Feida Zhu, Pei Hua Cher · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  97. To Buy or to Read: How a Platform Shapes Reviewing Behavior
    Edward Newell, Stefan Dimitrov, Andrew Piper, Derek A. Ruths · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  98. Computational Social Science for the World Wide Web (CSSW3)
    Ingmar G. Weber, Claudia Wagner, Markus Strohmaier · 2016
  99. Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in a Large-Scale Mobile Communication Network.
    Yuxiao Dong, Omar Ližardo, Nitesh V. Chawla · 2016 · arXiv (Cornell University)
  100. Who Controls the Public Sphere in an Era of Algorithms? Questions and Assumptions
    L.S. Reed, danah boyd · 2016
  101. Comparing the Predictive Capability of Social and Interest Affinity for Recommendations
    Alexandra Olteanu, Anne-Marie Kermarrec, Karl Aberer · 2014 · Lecture notes in computer science
  102. Discussion graphs: putting social media analysis in context
    Kıcıman, Emre, Counts, Scott, Gamon, Michael, De Choudhury, Munmun, Thiesson, Bo · 2014 · Proceedings of the International AAAI Conference on Web and Social Media
  103. Experimentation standards for crisis informatics
    Diaz, Fernando · 2014 · ACM SIGIR Forum
  104. Everyone's Invited: A New Paradigm for Evaluation on Non-Transferable Datasets
    David Jurgens, Tyler Finethy, Caitrin Armstrong, Derek A. Ruths · 2021 · Proceedings of the International AAAI Conference on Web and Social Media
  105. Persona-ization: Searching on Behalf of Others
    Paul N. Bennett, Emre Kıcıman · 2015
  106. Call for Papers: Special Issue on Social and Technical Trade-Offs
    Guest Editors, Solon Barocas, danah boyd · 2016 · Big Data
  107. NLR volume 57 issue 1 Cover and Back matter
    2010 · Netherlands International Law Review
  108. Do the Young Live in a "Smaller World" Than the Old? Age-Specific Degrees of Separation in Human Communication
    Dong, Yuxiao, Lizardo, Omar, Chawla, Nitesh V. · 2016 · arXiv