{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T07:18:08Z","timestamp":1742973488721,"version":"3.40.3"},"publisher-location":"Cham","reference-count":43,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030612542"},{"type":"electronic","value":"9783030612559"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-61255-9_7","type":"book-chapter","created":{"date-parts":[[2020,10,10]],"date-time":"2020-10-10T19:02:54Z","timestamp":1602356574000},"page":"65-74","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Validating Social Media Monitoring: Statistical Pitfalls and Opportunities from Public Opinion"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1200-0855","authenticated-orcid":false,"given":"Michael C.","family":"Smith","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4584-4018","authenticated-orcid":false,"given":"Thomas A.","family":"Mazzuchi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3302-9497","authenticated-orcid":false,"given":"David A.","family":"Broniatowski","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,10,11]]},"reference":[{"issue":"2","key":"7_CR1","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1093\/jssam\/smt008","volume":"1","author":"R Baker","year":"2013","unstructured":"Baker, R., et al.: Summary report of the AAPOR task force on non-probability sampling. J. Surv. Stat. Methodol. 1(2), 90\u2013143 (2013)","journal-title":"J. Surv. Stat. Methodol."},{"key":"7_CR2","unstructured":"Baker, R., et al.: Evaluating Survey Quality in Today\u2019s Complex Environment - AAPOR, May 2016"},{"key":"7_CR3","doi-asserted-by":"publisher","first-page":"490","DOI":"10.1111\/ajps.12274","volume":"61","author":"N Beauchamp","year":"2016","unstructured":"Beauchamp, N.: Predicting and interpolating state-level polls using Twitter textual data. Am. J. Polit. Sci. 61, 490\u2013503 (2016)","journal-title":"Am. J. Polit. Sci."},{"key":"7_CR4","doi-asserted-by":"crossref","unstructured":"Beskow, D.M., Carley, K.M.: Bot conversations are different: leveraging network metrics for bot detection in Twitter. In: 2018 IEEE\/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 825\u2013832. IEEE (2018)","DOI":"10.1109\/ASONAM.2018.8508322"},{"key":"7_CR5","unstructured":"Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993\u20131022 (2003)"},{"key":"7_CR6","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1186\/1471-2288-14-42","volume":"14","author":"B Bonevski","year":"2014","unstructured":"Bonevski, B., et al.: Reaching the hard-to-reach: a systematic review of strategies for improving health and medical research with socially disadvantaged groups. BMC Med. Res. Methodol. 14, 42 (2014)","journal-title":"BMC Med. Res. Methodol."},{"issue":"28","key":"7_CR7","doi-asserted-by":"publisher","first-page":"3225","DOI":"10.1016\/j.vaccine.2016.04.044","volume":"34","author":"DA Broniatowski","year":"2016","unstructured":"Broniatowski, D.A., Hilyard, K.M., Dredze, M.: Effective vaccine communication during the disneyland measles outbreak. Vaccine 34(28), 3225\u20133228 (2016)","journal-title":"Vaccine"},{"issue":"10","key":"7_CR8","doi-asserted-by":"publisher","first-page":"1378","DOI":"10.2105\/AJPH.2018.304567","volume":"108","author":"DA Broniatowski","year":"2018","unstructured":"Broniatowski, D.A., et al.: Weaponized health communication: Twitter bots and Russian trolls amplify the vaccine debate. Am. J. Public Health 108(10), 1378\u20131384 (2018)","journal-title":"Am. J. Public Health"},{"issue":"12","key":"7_CR9","doi-asserted-by":"publisher","first-page":"e83672","DOI":"10.1371\/journal.pone.0083672","volume":"8","author":"DA Broniatowski","year":"2013","unstructured":"Broniatowski, D.A., Paul, M.J., Dredze, M.: National and local influenza surveillance through Twitter: an analysis of the 2012\u20132013 influenza epidemic. PLoS ONE 8(12), e83672 (2013)","journal-title":"PLoS ONE"},{"issue":"6","key":"7_CR10","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1002\/sys.21414","volume":"20","author":"DA Broniatowski","year":"2017","unstructured":"Broniatowski, D.A., Tucker, C.: Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity. Syst. Eng. 20(6), 483\u2013496 (2017)","journal-title":"Syst. Eng."},{"key":"7_CR11","unstructured":"Campbell, D.T., Stanley, J.C.: Experimental and Quasi-Experimental Designs for Research, 2nd Print edn. Houghton Mifflin Comp, Boston (1967). oCLC: 247359300"},{"key":"7_CR12","doi-asserted-by":"publisher","first-page":"389","DOI":"10.1613\/jair.4935","volume":"55","author":"A Culotta","year":"2016","unstructured":"Culotta, A., Ravi, N., Cutler, J.: Predicting Twitter user demographics using distant supervision from website traffic data. J. Artif. Intell. Res. 55, 389\u2013408 (2016)","journal-title":"J. Artif. Intell. Res."},{"key":"7_CR13","unstructured":"Cunha, E., Magno, G., Comarela, G., Almeida, V., Gon\u00e7alves, M.A., Benevenuto, F.: Analyzing the dynamic evolution of hashtags on Twitter: a language-based approach. In: Proceedings of the Workshop on Languages in Social Media, pp. 58\u201365. Association for Computational Linguistics (2011)"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Davis, C.A., Varol, O., Ferrara, E., Flammini, A., Menczer, F.: BotOrNot: a system to evaluate social bots. arXiv:1602.00975 [cs], pp. 273\u2013274 (2016)","DOI":"10.1145\/2872518.2889302"},{"issue":"4","key":"7_CR15","doi-asserted-by":"publisher","first-page":"550","DOI":"10.1016\/j.amepre.2015.10.002","volume":"50","author":"M Dredze","year":"2016","unstructured":"Dredze, M., Broniatowski, D.A., Smith, M.C., Hilyard, K.M.: Understanding vaccine refusal: why we need social media now. Am. J. Prev. Med. 50(4), 550 (2016)","journal-title":"Am. J. Prev. Med."},{"key":"7_CR16","unstructured":"Duggan, M., Brenner, J.: The Demographics of Social Media Users \u2013 2012, February 2013"},{"key":"7_CR17","doi-asserted-by":"crossref","unstructured":"Fitzgerald, R., Fuller, L.: I hear you knocking but you can\u2019t come in: the effects of reluctant respondents and refusers on sample survey estimates. Sociol. Methods Res. 11(1), 3\u201332 (1982)","DOI":"10.1177\/0049124182011001001"},{"issue":"3","key":"7_CR18","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1111\/j.1538-4632.1992.tb00261.x","volume":"24","author":"A Getis","year":"1992","unstructured":"Getis, A., Ord, J.K.: The analysis of spatial association by use of distance statistics. Geograph. Anal. 24(3), 189\u2013206 (1992)","journal-title":"Geograph. Anal."},{"issue":"5","key":"7_CR19","doi-asserted-by":"publisher","first-page":"861","DOI":"10.1093\/poq\/nfr057","volume":"75","author":"RM Groves","year":"2011","unstructured":"Groves, R.M.: Three eras of survey research. Public Opin. Q. 75(5), 861\u2013871 (2011)","journal-title":"Public Opin. Q."},{"key":"7_CR20","unstructured":"Huang, X., et al.: Examining patterns of influenza vaccination in social media. In: AAAI Joint Workshop on Health Intelligence (W3PHIAI) (2017)"},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Kata, A.: Anti-vaccine activists, web 2.0, and the postmodern paradigm \u2013 an overview of tactics and tropes used online by the anti-vaccination movement. Vaccine 30(25), 3778\u20133789 (2012)","DOI":"10.1016\/j.vaccine.2011.11.112"},{"key":"7_CR22","doi-asserted-by":"crossref","unstructured":"Knowles, R., Carroll, J., Dredze, M.: Demographer: extremely simple name demographics. In: NLP+ CSS 2016, p. 108 (2016)","DOI":"10.18653\/v1\/W16-5614"},{"issue":"4","key":"7_CR23","doi-asserted-by":"publisher","first-page":"2025","DOI":"10.1007\/s11135-011-9640-9","volume":"47","author":"I Krumpal","year":"2013","unstructured":"Krumpal, I.: Determinants of social desirability bias in sensitive surveys: a literature review. Qual. Quant. 47(4), 2025\u20132047 (2013)","journal-title":"Qual. Quant."},{"key":"7_CR24","doi-asserted-by":"publisher","first-page":"312","DOI":"10.1016\/j.ins.2018.08.019","volume":"467","author":"S Kudugunta","year":"2018","unstructured":"Kudugunta, S., Ferrara, E.: Deep neural networks for bot detection. Inf. Sci. 467, 312\u2013322 (2018)","journal-title":"Inf. Sci."},{"key":"7_CR25","doi-asserted-by":"crossref","unstructured":"Kwak, H., Lee, C., Park, H., Moon, S.: What is Twitter, a social network or a news media? In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, pp. 591\u2013600. ACM, New York (2010)","DOI":"10.1145\/1772690.1772751"},{"issue":"6176","key":"7_CR26","doi-asserted-by":"publisher","first-page":"1203","DOI":"10.1126\/science.1248506","volume":"343","author":"D Lazer","year":"2014","unstructured":"Lazer, D., Kennedy, R., King, G., Vespignani, A.: The parable of Google Flu: traps in big data analysis. Science 343(6176), 1203\u20131205 (2014)","journal-title":"Science"},{"key":"7_CR27","doi-asserted-by":"crossref","unstructured":"Liao, Q.V., Fu, W.T., Strohmaier, M.: # Snowden: understanding biases introduced by behavioral differences of opinion groups on social media. In: Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, CHI 2016, pp. 3352\u20133363. ACM, New York (2016)","DOI":"10.1145\/2858036.2858422"},{"key":"7_CR28","doi-asserted-by":"crossref","unstructured":"Lu, Y., Hu, X., Wang, F., Kumar, S., Liu, H., Maciejewski, R.: Visualizing social media sentiment in disaster scenarios. In: Proceedings of the 24th International Conference on World Wide Web, WWW 2015 Companion, pp. 1211\u20131215. ACM, New York (2015)","DOI":"10.1145\/2740908.2741720"},{"key":"7_CR29","unstructured":"Murphy, J., et al.: Social Media in Public Opinion Research - AAPOR, May 2014"},{"issue":"1","key":"7_CR30","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s10579-015-9328-1","volume":"50","author":"P Nakov","year":"2016","unstructured":"Nakov, P., et al.: Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts. Lang. Resour. Eval. 50(1), 35\u201365 (2016)","journal-title":"Lang. Resour. Eval."},{"key":"7_CR31","doi-asserted-by":"crossref","unstructured":"Olteanu, A., Castillo, C., Diaz, F., Kiciman, E.: Social data: biases, methodological pitfalls, and ethical boundaries. SSRN Scholarly Paper ID 2886526, Social Science Research Network, Rochester, December 2016","DOI":"10.2139\/ssrn.2886526"},{"key":"7_CR32","doi-asserted-by":"crossref","unstructured":"Paul, M.J., Dredze, M., Broniatowski, D.: Twitter improves influenza forecasting. PLoS currents 6 (2014)","DOI":"10.1371\/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117"},{"key":"7_CR33","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1016\/j.ssmph.2017.11.003","volume":"4","author":"SC Quinn","year":"2018","unstructured":"Quinn, S.C., Jamison, A., An, J., Freimuth, V.S., Hancock, G.R., Musa, D.: Breaking down the monolith: understanding flu vaccine uptake among African Americans. SSM - Popul. Health 4, 25\u201336 (2018)","journal-title":"SSM - Popul. Health"},{"issue":"8","key":"7_CR34","doi-asserted-by":"publisher","first-page":"1167","DOI":"10.1016\/j.vaccine.2016.12.046","volume":"35","author":"SC Quinn","year":"2017","unstructured":"Quinn, S.C., Jamison, A., Freimuth, V.S., An, J., Hancock, G.R., Musa, D.: Exploring racial influences on flu vaccine attitudes and behavior: results of a national survey of White and African American adults. Vaccine 35(8), 1167\u20131174 (2017)","journal-title":"Vaccine"},{"issue":"1","key":"7_CR35","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1093\/poq\/nfv048","volume":"80","author":"MF Schober","year":"2016","unstructured":"Schober, M.F., Pasek, J., Guggenheim, L., Lampe, C., Conrad, F.G.: Social media analyses for social measurement. Public Opin. Q. 80(1), 180\u2013211 (2016)","journal-title":"Public Opin. Q."},{"key":"7_CR36","unstructured":"Schwartz, H.A., et al.: Toward personality insights from language exploration in social media. In: 2013 AAAI Spring Symposium Series (2013)"},{"key":"7_CR37","unstructured":"Shadish, W., Cook, T.D., Campbell, D.T.: Experimental and quasi-experimental designs for generalized causal inference. Wadsworth Cengage learning (2002)"},{"key":"7_CR38","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4378-6","volume-title":"Model Assisted Survey Sampling","author":"C S\u00e4rndal","year":"1992","unstructured":"S\u00e4rndal, C., Swensson, B., Wretman, J.: Model Assisted Survey Sampling. Springer, Heidelberg (1992)"},{"key":"7_CR39","doi-asserted-by":"crossref","unstructured":"Tourangeau, R., Rips, L.J., Rasinski, K.: The Psychology of Survey Response. Cambridge University Press, March 2000. Google-Books-ID: bjVYdyXXT3oC","DOI":"10.1017\/CBO9780511819322"},{"issue":"12","key":"7_CR40","doi-asserted-by":"publisher","first-page":"726","DOI":"10.1089\/cyber.2014.0609","volume":"18","author":"S Volkova","year":"2015","unstructured":"Volkova, S., Bachrach, Y.: On predicting sociodemographic traits and emotions from communications in social networks and their implications to online self-disclosure. Cyberpsychol. Behav. Soc. Netw. 18(12), 726\u2013736 (2015)","journal-title":"Cyberpsychol. Behav. Soc. Netw."},{"key":"7_CR41","doi-asserted-by":"crossref","unstructured":"Wood-Doughty, Z., Mahajan, P., Dredze, M.: Johns Hopkins or Johnny-Hopkins: classifying individuals versus organizations on Twitter. In: Proceedings of the Second Workshop on Computational Modeling of People\u2019s Opinions, Personality, and Emotions in Social Media, pp. 56\u201361 (2018)","DOI":"10.18653\/v1\/W18-1108"},{"key":"7_CR42","doi-asserted-by":"crossref","unstructured":"Wood-Doughty, Z., Smith, M., Broniatowski, D., Dredze, M.: How does twitter user behavior vary across demographic groups? In: Proceedings of the Second Workshop on NLP and Computational Social Science, pp. 83\u201389 (2017)","DOI":"10.18653\/v1\/W17-2912"},{"issue":"4","key":"7_CR43","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1093\/poq\/nfr020","volume":"75","author":"DS Yeager","year":"2011","unstructured":"Yeager, D.S., et al.: Comparing the accuracy of RDD telephone surveys and internet surveys conducted with probability and non-probability samples. Public Opin. Q. 75(4), 709\u2013747 (2011)","journal-title":"Public Opin. Q."}],"container-title":["Lecture Notes in Computer Science","Social, Cultural, and Behavioral Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61255-9_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T09:14:18Z","timestamp":1619255658000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-61255-9_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030612542","9783030612559"],"references-count":43,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61255-9_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"11 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SBP-BRiMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Washington, DC","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sbp2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/sbp-brims.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"66","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"33","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"50% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference will be held virtually due to the COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}