Web Survey Bibliography
Title Social Media Analyses for Social Measurement
Author Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
Source Public Opinion Quarterly (POQ), 80, 1, pp. 180-211
Year 2016
Database Oxford Journals
Access date 05.02.2016
Abstract Demonstrations that analyses of social media content can align with measurement from sample surveys have raised the question of whether survey research can be supplemented or even replaced with less costly and burdensome data mining of already-existing or “found” social media content. But just how trustworthy such measurement can be—say, to replace official statistics—is unknown. Survey researchers and data scientists approach key questions from starting assumptions and analytic traditions that differ on, for example, the need for representative samples drawn from frames that fully cover the population. New conversations between these scholarly communities are needed to understand the potential points of alignment and non-alignment. Across these approaches, there are major differences in (a) how participants (survey respondents and social media posters) understand the activity they are engaged in; (b) the nature of the data produced by survey responses and social media posts, and the inferences that are legitimate given the data; and (c) practical and ethical considerations surrounding the use of the data. Estimates are likely to align to differing degrees depending on the research topic and the populations under consideration, the particular features of the surveys and social media sites involved, and the analytic techniques for extracting opinions and experiences from social media. Traditional population coverage may not be required for social media content to effectively predict social phenomena to the extent that social media content distills or summarizes broader conversations that are also measured by surveys.
Access/Direct link Oxford Journals (Abstract) / (Full text)
Year of publication2016
Bibliographic typeJournal article
Web survey bibliography - 2016 (264)
- A Statistical Approach to Provide Individualized Privacy for Surveys; 2016; Esponda, F.; Huerta, K.; Guerrero, V. M.
- Online and Social Media Data As an Imperfect Continuous Panel Survey; 2016; Diaz, F.; Garmon, F.; Hofman, J. K.; Kiciman, E.; Rothschild, D.
- Social Media Analyses for Social Measurement; 2016; Schober, M. F.; Pasek, J.; Guggenheim, L.; Lampe, C.; Conrad, F. G.
- A multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel...; 2016; Golden, L.; Albaum, G.; Roster, C. A.; Smith, S. M.
- Does the Inclusion of Non-Internet Households in a Web Panel Reduce Coverage Bias?; 2016; Eckman, S.
- Investigating respondent multitasking in web surveys using paradata; 2016; Sendelbah, A.; Vehovar, V.; Slavec, A.; Petrovcic, A.
- The effect of email invitation elements on response rate in a web survey within an online community; 2016; Petrovcic, A.; Petric, G.; Lozar Manfreda, K.
- Respondent Conditioning in Online Panel Surveys: Results of Two Field Experiments; 2016; Struminskaya, B.
- Presentation matters: how mode effects in item non-response depend on the presentation of response options...; 2016; Zeglovits, E.; Schwarzer, S.
- Internet-administered Health-related Quality of Life Questionnaires Compared With Pen and Paper in an...; 2016; Nitikman, M.; Mulpuri, K.; Reilly, C. W.
- Doing Surveys Online ; 2016; Toepoel, V.
- Exploring Factors in Contributing Student Progress in the Open University; 2016; Arifin, M. H.
- Use of Smartphones as a New Survey Mode: A Feasibility Study ; 2015; Hu, S.; Freedner-Maguire, N.; Dayton, J.; Neff, L.
- Using Text-to-Speech (TTS) for Audio-CASI; 2012; Couper, M. P., Kirgis, N., Buageila, S., Berglund, P.