Self-Reported Versus Digitally Recorded: Measuring Political Activity on Facebook

Haenschen, Katherine

doi:10.1177/0894439318813586

Cited by 51 publications

(32 citation statements)

References 40 publications

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“…The most robust results across validation studies and the most problematic finding for the field of political communication are that political interest is both correlated with misreporting (Guess et al, 2018;Haenschen, 2019;Vraga & Tully, 2018) and, as is well-known, with factors like voting or political knowledge. It is also noteworthy that the relationship between misreporting and political variables all come from the United States, an increasingly polarized political and media system.…”

Section: Linking Surveys and Digital Trace Data: Ways Of Linking And mentioning

confidence: 94%

“…Further studies should investigate whether political considerations affect survey responses on (online) behavior in other contexts as well. These studies have also shown ways to improve survey items by testing various types of self-report items against each other (Guess, 2015;Guess et al, 2018;Haenschen, 2019).…”

Section: Linking Surveys and Digital Trace Data: Ways Of Linking And mentioning

confidence: 99%

“…In terms of measurement, few studies linking digital traces to survey data have gone beyond simple metadata counts of digital traces. When researchers want to analyze the substance of human communication and behavior, they very quickly face constraints due to the sheer size and unstructured nature of the data, which makes hand-coding unfeasible in most cases (but see Haenschen, 2019). The paper by Hopp, Vargo, Dixon, and Thain (2018) in this issue stands out by applying the Google's Perspective API to classify incivility at a larger scale.…”

Section: Measurements Constructed From Digital Trace Datamentioning

confidence: 99%

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Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field

Stier

Breuer

Siegers

et al. 2019

Social Science Computer Review

223

138

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While survey research has been at the heart of social science for decades and social scientific research with digital trace data has been growing rapidly in the last few years, until now, there are relatively few studies that combine these two data types. This may be surprising given the potential of linking surveys and digital trace data, but at the same time, it is important to note that the collection and analysis of such linked data are challenging in several regards. The three key issues are: (1) data linking including informed consent for individual-level studies, (2) methodological and ethical issues impeding the scientific (re)analysis of linked survey and digital trace data sets, and (3) developing conceptual and theoretical frameworks tailored toward the multidimensionality of such data. This special issue addresses these challenges by presenting cutting-edge methodological work on how to best collect and analyze linked data as well as studies that have successfully combined survey data and digital trace data to find innovative answers to relevant social scientific questions.

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Section: Linking Surveys and Digital Trace Data: Ways Of Linking And mentioning

confidence: 94%

Section: Linking Surveys and Digital Trace Data: Ways Of Linking And mentioning

confidence: 99%

Section: Measurements Constructed From Digital Trace Datamentioning

confidence: 99%

See 1 more Smart Citation

Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field

Stier

Breuer

Siegers

et al. 2019

Social Science Computer Review

223

138

View full text Add to dashboard Cite

show abstract

“…The traditional approach to measuring media use has been to ask respondents post hoc about their use. However, this kind of measurement has long been suspected of generating systematic error, as people tend to overestimate their exposure times (Haenschen, 2019;Price & Zaller, 1993;Prior, 2009;Scharkow, 2016). While previous research has shown that, for example, open-ended questions reduce such overreporting (Guess, 2015), post-hoc surveys provide no reliable way to capture individually encountered context.…”

Section: Surveysmentioning

confidence: 99%

Computational observation: Challenges and opportunities of automated observation within algorithmically curated media environments using a browser plug-in

Haim¹,

Nienierza²

2019

Preprint

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A lot of modern media use is guided by algorithmic curation, a phenomenon that is in desperate need of empirical observation, but for which adequate methodological tools are largely missing. To fill this gap, computational observation offers a novel approach—the unobtrusive and automated collection of information encountered within algorithmically curated media environments by means of a browser plug-in. In contrast to prior methodological approaches, browser plug-ins allow for reliable capture and repetitive analysis of both content and context at the point of the actual user encounter. After discussing the technological, ethical, and practical considerations relevant to this automated solution, we present our open-source browser plug-in as an element in an adequate multi-method design, along with potential links to panel surveys and content analysis. Ultimately, we present a proof-of-concept study in the realm of news exposure on Facebook; we successfully deployed the plug-in to Chrome and Firefox, and we combined the computational observation with a two-wave panel survey. Although this study suffered from severe recruitment difficulties, the results indicate that the methodological setup is reliable and ready to implement for data collection within a variety of studies on media use and media effects.

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“…Debates on Facebook were also heated during elections in various countries, including the USA Presidential Elections since 2008 (see Williams and Gulati 2008;Robertson et al 2008;Fernandes et al 2010;Carlisle and Patton 2013;Pennington et al 2015;Lin 2017; Apuke and Apollos 2017). Public and politicians' participation in political discourse on Facebook has also been the subject of several studies, including ones on comments on political posts and issues (see Chen and Sali 2010;Clarke and Steekamp 2014;Vraga et al 2015;Heo et al 2016;Haenschen 2019). Reactions to Facebook extremist political comments (Almoqbel et al 2019) and hostile media bias on social media expressed in users' comments (Gearheart et al 2020) were also the subjects of some recent studies.…”

Section: Introductionmentioning

confidence: 99%

The Language of Facebook Comments on Political Articles in Jordan

Bader¹,

Obeidat²

2020

IJL

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The present study aims to investigate the types of impoliteness strategies used by Jordanian Facebookers when commenting on some local political posts. To achieve this goal, one hundred comments were collected from ten political posts in Jordan. The types of impoliteness strategies were analyzed according to super and sub-strategies following the model of Culpeper (1996). The findings showed that most strategies were used by Jordanian Facebookers in political posts, including the following: bald on record, positive impoliteness, negative impoliteness, and sarcasm impoliteness. In addition, due to the religious orientation of most people, Jordanians often use supplications, a new strategy not mentioned in Culpeper (1996). Negative and sarcasm impoliteness are the most frequent super-strategies, while bald on record is the least frequently used super-strategy. Each negative and positive impoliteness has sub-strategies. Positive impoliteness is expressed into disassociating from the other, being disinterested, seeking disagreement, and using taboo words. Using taboo words is the most dominant type in positive impoliteness. Negative impoliteness is expressed into frightening, condescending, putting the other’s indebtedness on record, and associating the other with a negative aspect. Associating the other with a negative aspect is the most dominant type in negative impoliteness used by Jordanian Facebookers.

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Self-Reported Versus Digitally Recorded: Measuring Political Activity on Facebook

Cited by 51 publications

References 40 publications

Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field

Integrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field

Computational observation: Challenges and opportunities of automated observation within algorithmically curated media environments using a browser plug-in

The Language of Facebook Comments on Political Articles in Jordan

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