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Volumn , Issue , 2017, Pages 370-386

Distilling the outcomes of personal experiences: A propensity-scored analysis of social media

Author keywords

Experience outcomes; Information extraction; Social media

Indexed keywords

COMPUTER SUPPORTED COOPERATIVE WORK; DECISION SUPPORT SYSTEMS; GROUPWARE; INFORMATION RETRIEVAL; INTERACTIVE COMPUTER SYSTEMS;

EID: 85014798275     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2998181.2998353     Document Type: Conference Paper
Times cited : (59)

References (99)
  • 3
    • 85005985501 scopus 로고    scopus 로고
    • Designing cyberbullying mitigation and prevention solutions through participatory design with teenagers
    • Zahra Ashktorab and Jessica Vitak. 2016. Designing Cyberbullying Mitigation and Prevention Solutions through Participatory Design With Teenagers. In Proc. of the ACM Conf. on Human Factors in Computing Systems. 3895-3905.
    • (2016) Proc. of the ACM Conf. on Human Factors in Computing Systems , pp. 3895-3905
    • Ashktorab, Z.1    Vitak, J.2
  • 5
    • 33645038723 scopus 로고    scopus 로고
    • Identification and inference in nonlinear difference-in-differences models
    • 2006
    • Susan Athey and Guido W Imbens. 2006. Identification and inference in nonlinear difference-in-differences models. Econometrica 74, 2(2006), 431-497.
    • (2006) Econometrica , vol.74 , Issue.2 , pp. 431-497
    • Athey, S.1    Imbens, G.W.2
  • 8
    • 84941236298 scopus 로고    scopus 로고
    • What could derail the wearables revolution?
    • 2015
    • Kat Austen. 2015. What could derail the wearables revolution? Nature 525 (2015).
    • (2015) Nature , pp. 525
    • Austen, K.1
  • 15
    • 0001015501 scopus 로고    scopus 로고
    • Learning from the behavior of others: Conformity, fads, and informational cascades
    • 1998
    • Sushil Bikhchandani, David Hirshleifer, and Ivo Welch. 1998. Learning from the behavior of others: Conformity, fads, and informational cascades. The Journal of Economic Perspectives 12, 3(1998), 151-170.
    • (1998) The Journal of Economic Perspectives , vol.12 , Issue.3 , pp. 151-170
    • Bikhchandani, S.1    Hirshleifer, D.2    Welch, I.3
  • 16
    • 79953102821 scopus 로고    scopus 로고
    • Twitter mood predicts the stock market
    • 2011
    • Johan Bollen, Huina Mao, and Xiaojun Zeng. 2011. Twitter mood predicts the stock market. Journal of Computational Science 2, 1(2011), 1-8.
    • (2011) Journal of Computational Science , vol.2 , Issue.1 , pp. 1-8
    • Bollen, J.1    Mao, H.2    Zeng, X.3
  • 17
    • 80053220404 scopus 로고    scopus 로고
    • Cooooooooooooooollllllllllllll!!!!!!!!!!!!!!: Using word lengthening to detect sentiment in microblogs
    • Assoc. for Computational Linguistics
    • Samuel Brody and Nicholas Diakopoulos. 2011. Cooooooooooooooollllllllllllll!!!!!!!!!!!!!!: using word lengthening to detect sentiment in microblogs. In Proc. of the Conf. on Empirical Methods in natural language processing. Assoc. for Computational Linguistics, 562-570.
    • (2011) Proc. of the Conf. on Empirical Methods in Natural Language Processing , pp. 562-570
    • Brody, S.1    Diakopoulos, N.2
  • 19
    • 38849182246 scopus 로고    scopus 로고
    • Some practical guidance for the implementation of propensity score matching
    • 2008
    • Marco Caliendo and Sabine Kopeinig. 2008. Some practical guidance for the implementation of propensity score matching. Journal of economic surveys 22, 1(2008), 31-72.
    • (2008) Journal of Economic Surveys , vol.22 , Issue.1 , pp. 31-72
    • Caliendo, M.1    Kopeinig, S.2
  • 22
    • 84861030263 scopus 로고    scopus 로고
    • Addressing people's information needs directly in a web search result page
    • ACM
    • Lydia B Chilton and Jaime Teevan. 2011. Addressing people's information needs directly in a web search result page. In Proc. of the World wide web Conf. ACM, 27-36.
    • (2011) Proc. of the World Wide Web Conf , pp. 27-36
    • Chilton, L.B.1    Teevan, J.2
  • 23
    • 79953120300 scopus 로고    scopus 로고
    • Cancer survivorship in the age of YouTube and social media: A narrative analysis
    • 2011
    • Wen-Ying Sylvia Chou, Yvonne Hunt, Anna Folkers, and Erik Augustson. 2011. Cancer survivorship in the age of YouTube and social media: a narrative analysis. Journal of medical Internet research 13, 1 (2011).
    • (2011) Journal of Medical Internet Research , vol.13 , pp. 1
    • Chou, W.-Y.S.1    Hunt, Y.2    Folkers, A.3    Augustson, E.4
  • 29
    • 33846839300 scopus 로고    scopus 로고
    • Guidelines for national indicators of subjective well-being and ill-being
    • 2006
    • Ed Diener. 2006. Guidelines for national indicators of subjective well-being and ill-being. Applied Research in Quality of Life (2006).
    • (2006) Applied Research in Quality of Life
    • Diener, E.1
  • 31
    • 84959478378 scopus 로고    scopus 로고
    • Using matched samples to estimate the effects of exercise on mental health from Twitter
    • Virgile Landeiro Dos Reis and Aron Culotta. 2015. Using matched samples to estimate the effects of exercise on mental health from Twitter. In Proc. of the AAAI Conf. on Artificial Intelligence. 182-188.
    • (2015) Proc. of the AAAI Conf. on Artificial Intelligence , pp. 182-188
    • Dos Reis, V.L.1    Culotta, A.2
  • 32
  • 34
    • 84960947040 scopus 로고    scopus 로고
    • Self-characterized illness phase and information needs of participants in an online cancer forum
    • Jordan Eschler, Zakariya Dehlawi, and Wanda Pratt. 2015. Self-Characterized Illness Phase and Information Needs of Participants in an Online Cancer Forum. In Proc of. AAAI Conf. on Web and Social Media.
    • (2015) Proc Of. AAAI Conf. on Web and Social Media
    • Eschler, J.1    Dehlawi, Z.2    Pratt, W.3
  • 37
    • 39049154385 scopus 로고    scopus 로고
    • Personality as manifest in word use: Correlations with self-report, acquaintance report, and behavior
    • 2008
    • Lisa A Fast and David C Funder. 2008. Personality as manifest in word use: correlations with self-report, acquaintance report, and behavior. Journal of personality and social psychology (2008).
    • (2008) Journal of Personality and Social Psychology
    • Fast, L.A.1    Funder, D.C.2
  • 38
    • 0012686456 scopus 로고    scopus 로고
    • Wiley Online Library
    • Christiane Fellbaum. 1998. WordNet. Wiley Online Library.
    • (1998) WordNet
    • Fellbaum, C.1
  • 40
    • 0033281425 scopus 로고    scopus 로고
    • Large margin classification using the perceptron algorithm
    • 1999
    • Yoav Freund and Robert E Schapire. 1999. Large margin classification using the perceptron algorithm. Machine learning 37, 3(1999), 277-296.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 277-296
    • Freund, Y.1    Schapire, R.E.2
  • 41
    • 84914147074 scopus 로고    scopus 로고
    • From "I love you babe" to "leave me alone"-Romantic Relationship Breakups on Twitter
    • Springer
    • Venkata Rama Kiran Garimella, Ingmar Weber, and Sonya Dal Cin. 2014. From "I love you babe" to "leave me alone"-Romantic Relationship Breakups on Twitter. In Conf. on Social Informatics. Springer, 199-215.
    • (2014) Conf. on Social Informatics , pp. 199-215
    • Garimella, V.R.K.1    Weber, I.2    Dal Cin, S.3
  • 42
    • 80053483973 scopus 로고    scopus 로고
    • Don't turn social media into another 'Literary Digest' poll
    • 2011
    • Daniel Gayo-Avello. 2011. Don't turn social media into another 'Literary Digest' poll. Commun. ACM (2011).
    • (2011) Commun. ACM
    • Gayo-Avello, D.1
  • 45
    • 33646204004 scopus 로고    scopus 로고
    • Implementation intentions and goal achievement: A meta-analysis of effects and processes
    • 2006
    • Peter M Gollwitzer and Paschal Sheeran. 2006. Implementation intentions and goal achievement: A meta-analysis of effects and processes. Advances in experimental social psychology 38(2006), 69-119.
    • (2006) Advances in Experimental Social Psychology , vol.38 , pp. 69-119
    • Gollwitzer, P.M.1    Sheeran, P.2
  • 52
    • 84890625827 scopus 로고    scopus 로고
    • OMG, i have to tweet that! a study of factors that influence tweet rates
    • Emre Kiciman. 2012. OMG, i have to tweet that! a study of factors that influence tweet rates. In Proc of. AAAI Conf. on Web and Social Media.
    • (2012) Proc Of. AAAI Conf. on Web and Social Media
    • Kiciman, E.1
  • 53
    • 84954160124 scopus 로고    scopus 로고
    • Towards decision support and goal achievement: Identifying action-outcome relationships from social media
    • Emre Kiciman and Matthew Richardson. 2015. Towards decision support and goal achievement: Identifying action-outcome relationships from social media. In Proc. of the ACM Conf. on Knowledge Discovery and Data Mining. 547-556.
    • (2015) Proc. of the ACM Conf. on Knowledge Discovery and Data Mining , pp. 547-556
    • Kiciman, E.1    Richardson, M.2
  • 55
    • 84887831549 scopus 로고    scopus 로고
    • Taskgenies: Automatically providing action plans helps people complete tasks
    • 2013
    • Nicolas Kokkalis, Thomas Kohn, Johannes Huebner, Moontae Lee, Florian Schulze, and Scott R Klemmer. 2013. Taskgenies: Automatically providing action plans helps people complete tasks. TOCHI 20, 5(2013), 27.
    • (2013) TOCHI , vol.20 , Issue.5 , pp. 27
    • Kokkalis, N.1    Kohn, T.2    Huebner, J.3    Lee, M.4    Schulze, F.5    Klemmer, S.R.6
  • 56
    • 84875720859 scopus 로고    scopus 로고
    • Contextual commonsense knowledge acquisition from social content by crowd-sourcing explanations
    • Yen-Ling Kuo, J Hsu, and Fuming Shih. 2012. Contextual commonsense knowledge acquisition from social content by crowd-sourcing explanations. In 4th AAAI Workshop on Human Computation.
    • (2012) 4th AAAI Workshop on Human Computation
    • Kuo, Y.-L.1    Hsu, J.2    Shih, F.3
  • 60
    • 80055033131 scopus 로고    scopus 로고
    • Towards large-scale collaborative planning: Answering high-level search queries using human computation
    • Edith Law and Haoqi Zhang. 2011. Towards Large-Scale Collaborative Planning: Answering High-Level Search Queries Using Human Computation. In AAAI Conf. on Artificial Intelligence.
    • (2011) AAAI Conf. on Artificial Intelligence
    • Law, E.1    Zhang, H.2
  • 61
    • 8644267670 scopus 로고    scopus 로고
    • ConceptNeta practical commonsense reasoning tool-kit
    • 2004
    • Hugo Liu and Push Singh. 2004. ConceptNeta practical commonsense reasoning tool-kit. BT technology journal 22, 4(2004), 211-226.
    • (2004) BT Technology Journal , vol.22 , Issue.4 , pp. 211-226
    • Liu, H.1    Singh, P.2
  • 66
    • 84960964319 scopus 로고    scopus 로고
    • Organizations are users too: Characterizing and detecting the presence of organizations on twitter
    • James McCorriston, David Jurgens, and Derek Ruths. 2015. Organizations Are Users Too: Characterizing and Detecting the Presence of Organizations on Twitter. In Proc of. AAAI Conf. on Web and Social Media.
    • (2015) Proc Of. AAAI Conf. on Web and Social Media
    • McCorriston, J.1    Jurgens, D.2    Ruths, D.3
  • 68
    • 84876343347 scopus 로고    scopus 로고
    • The twitter of babel: Mapping world languages through microblogging platforms
    • 2013
    • Delia Mocanu, Andrea Baronchelli, Nicola Perra, Bruno Goncalves, Qian Zhang, and Alessandro Vespignani. 2013. The twitter of babel: Mapping world languages through microblogging platforms. PloS one 8, 4 (2013).
    • (2013) PloS One , vol.8 , pp. 4
    • Mocanu, D.1    Baronchelli, A.2    Perra, N.3    Goncalves, B.4    Zhang, Q.5    Vespignani, A.6
  • 70
    • 84883360748 scopus 로고    scopus 로고
    • Using Twitter to examine smoking behavior and perceptions of emerging tobacco products
    • 2013
    • Mark Myslín, Shu-Hong Zhu, Wendy Chapman, and Mike Conway. 2013. Using Twitter to examine smoking behavior and perceptions of emerging tobacco products. Journal of medical Internet research 15, 8 (2013).
    • (2013) Journal of Medical Internet Research , vol.15 , pp. 8
    • Myslín, M.1    Zhu, S.-H.2    Chapman, W.3    Conway, M.4
  • 77
    • 84968813430 scopus 로고    scopus 로고
    • Diagnoses, decisions, and outcomes: Web search as decision support for cancer
    • ACM
    • Michael J Paul, Ryen W White, and Eric Horvitz. 2015. Diagnoses, decisions, and outcomes: Web search as decision support for cancer. In Proc. of the World Wide Web Conf. ACM, 831-841.
    • (2015) Proc. of the World Wide Web Conf , pp. 831-841
    • Paul, M.J.1    White, R.W.2    Horvitz, E.3
  • 80
    • 77949523342 scopus 로고    scopus 로고
    • Can implementation intentions and text messages promote brisk walking? A randomized trial
    • 2010
    • Andrew Prestwich, Marco Perugini, and Robert Hurling. 2010. Can implementation intentions and text messages promote brisk walking? A randomized trial. Health Psychology 29, 1(2010), 40.
    • (2010) Health Psychology , vol.29 , Issue.1 , pp. 40
    • Prestwich, A.1    Perugini, M.2    Hurling, R.3
  • 81
    • 84976406975 scopus 로고    scopus 로고
    • The psychology of job loss: Using social media data to characterize and predict unemployment
    • Davide Proserpio, Scott Counts, and Apurv Jain. 2016. The psychology of job loss: using social media data to characterize and predict unemployment. In Proc. of the 8th ACM Conf. on Web Science. 223-232.
    • (2016) Proc. of the 8th ACM Conf. on Web Science , pp. 223-232
    • Proserpio, D.1    Counts, S.2    Jain, A.3
  • 82
    • 55149100303 scopus 로고    scopus 로고
    • Learning about the world through long-term query logs
    • 2008
    • Matthew Richardson. 2008. Learning about the world through long-term query logs. ACM Transactions on the Web 2, 4(2008), 21.
    • (2008) ACM Transactions on the Web , vol.2 , Issue.4 , pp. 21
    • Richardson, M.1
  • 83
    • 0005595058 scopus 로고    scopus 로고
    • On the impossibility of inferring causation from association without background knowledge
    • 1999
    • James M Robins and Larry Wasserman. 1999. On the impossibility of inferring causation from association without background knowledge. Computation, causation, and discovery (1999), 305-321.
    • (1999) Computation, Causation, and Discovery , pp. 305-321
    • Robins, J.M.1    Wasserman, L.2
  • 84
    • 84949193513 scopus 로고
    • Reducing bias in observational studies using subclassification on the propensity score
    • 1984
    • Paul R Rosenbaum and Donald B Rubin. 1984. Reducing bias in observational studies using subclassification on the propensity score. Journal of the American Stat. Assoc. 79, 387(1984), 516-524.
    • (1984) Journal of the American Stat. Assoc , vol.79 , Issue.387 , pp. 516-524
    • Rosenbaum, P.R.1    Rubin, D.B.2
  • 86
    • 84867645132 scopus 로고    scopus 로고
    • Better than their reputation? On the reliability of relevance assessments with students
    • Springer
    • Philipp Schaer. 2012. Better than their reputation? on the reliability of relevance assessments with students. In Conf. of the Cross-Language Evaluation Forum for European Languages. Springer, 124-135.
    • (2012) Conf. of the Cross-language Evaluation Forum for European Languages , pp. 124-135
    • Schaer, P.1
  • 88
    • 59849102787 scopus 로고    scopus 로고
    • The neyman-rubin model of causal inference and estimation via matching methods
    • Jasjeet S Sekhon. 2007. The Neyman-Rubin Model of Causal Inference and Estimation via Matching Methods. In Oxford handbook of political methodology.
    • (2007) Oxford Handbook of Political Methodology
    • Sekhon, J.S.1
  • 89
    • 85014796007 scopus 로고    scopus 로고
    • Online media forums as separate social lives: A qualitative study of disclosure within and beyond reddit
    • 2015
    • Martin Shelton, Katherine Lo, and Bonnie Nardi. 2015. Online Media Forums as Separate Social Lives: A Qualitative Study of Disclosure Within and Beyond Reddit. iConf. Proceedings (2015).
    • (2015) IConf. Proceedings
    • Shelton, M.1    Lo, K.2    Nardi, B.3
  • 92
    • 84861433143 scopus 로고    scopus 로고
    • Disclosing information about the self is intrinsically rewarding
    • 2012
    • Diana I Tamir and Jason P Mitchell. 2012. Disclosing information about the self is intrinsically rewarding. National Academy of Sciences (2012).
    • (2012) National Academy of Sciences
    • Tamir, D.I.1    Mitchell, J.P.2
  • 93
    • 84900431958 scopus 로고    scopus 로고
    • Fitter with twitter: Understanding personal health and fitness activity in social media
    • Rannie Teodoro and Mor Naaman. 2013. Fitter with Twitter: Understanding Personal Health and Fitness Activity in Social Media. In AAAI Conf. on Weblogs and Social Media.
    • (2013) AAAI Conf. on Weblogs and Social Media
    • Teodoro, R.1    Naaman, M.2
  • 94
    • 84909954481 scopus 로고    scopus 로고
    • Big questions for social media big data: Representativeness, validity and other methodological pitfalls
    • Zeynep Tufekci. 2014. Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls. In AAAI Conf. on Weblogs and Social Media.
    • (2014) AAAI Conf. on Weblogs and Social Media
    • Tufekci, Z.1
  • 95
    • 84875323263 scopus 로고    scopus 로고
    • You have one identity: Performing the self on facebook and linkedin
    • 2013
    • José Van Dijck. 2013. You have one identity: performing the self on Facebook and LinkedIn. Media, Culture & Society 35, 2(2013), 199-215.
    • (2013) Media, Culture & Society , vol.35 , Issue.2 , pp. 199-215
    • Van Dijck, J.1
  • 97
    • 84906931569 scopus 로고    scopus 로고
    • Information extraction over structured data: Question answering with freebase
    • Citeseer
    • Xuchen Yao and Benjamin Van Durme. 2014. Information Extraction over Structured Data: Question Answering with Freebase.. In ACL (1). Citeseer, 956-966.
    • (2014) ACL (1) , pp. 956-966
    • Yao, X.1    Van Durme, B.2
  • 98
    • 84881082986 scopus 로고    scopus 로고
    • Postmarket drug surveillance without trial costs: Discovery of adverse drug reactions through large-scale analysis of web search queries
    • 2013
    • Elad Yom-Tov and Evgeniy Gabrilovich. 2013. Postmarket drug surveillance without trial costs: discovery of adverse drug reactions through large-scale analysis of web search queries. Journal of medical Internet research 15, 6 (2013).
    • (2013) Journal of Medical Internet Research , vol.15 , pp. 6
    • Yom-Tov, E.1    Gabrilovich, E.2


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