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@article{ Hopp2020,
 title = {Correlating Self-Report and Trace Data Measures of Incivility: A Proof of Concept},
 author = {Hopp, Toby and Vargo, Chris J. and Dixon, Lucas and Thain, Nithum},
 journal = {Social Science Computer Review},
 number = {5},
 pages = {584-599},
 volume = {38},
 year = {2020},
 issn = {1552-8286},
 doi = {https://doi.org/10.1177/0894439318814241},
 urn = {https://nbn-resolving.org/urn:nbn:de:0168-ssoar-85011-8},
 abstract = {This study correlated self-report and trace data measures of political incivility. Specifically, we asked respondents to provide estimates of the degree to which they engage in uncivil political communication online. These estimates were then compared to computational measures of uncivil social media discussion behavior. The results indicated that those who self-disclose uncivil online behavior also tend to generate content on social media that is uncivil as identified by Google's Perspective application programming interface. Taken as a whole, this work suggests that combining self-report and behavioral trace data may be a fruitful means of developing multimethod measures of complex communication behaviors.},
 keywords = {Online-Medien; online media; Soziale Medien; social media; Kommunikationsverhalten; communication behavior; politische Kommunikation; political communication; Sprachgebrauch; language usage; Hass; hate; Datengewinnung; data capture; Algorithmus; algorithm; Facebook; facebook; Twitter; twitter; Psychometrie; psychometrics}}