00000nam 2200000za 4500 9.858177 CaOODSP 20221107155930 cr ||||||||||| 180627s2018 onc |otb f|0| 0 eng d CaOODSP eng n-cn--- D68-11/9-2018E-PDF Upal, M. Afzal, 1970- Detecting sociostructural beliefs about group status differences in online discussions [electronic resource] / Afzal Upal, Brian Riordan and Heather Wade. [Toronto] : Defence Research and Development Canada, 2018. 6 p. External Literature (N) ; DRDC-RDDC-2018-N009 Cover title. "Can unclassified." "February 2018." "Date of Publication from Ext Publisher: June 2014." Includes bibliographic references. "Detection of fine-grained opinions and beliefs holds promise for improved social media analysis for social science research, business intelligence, and government decision-makers. While commercial applications focus on mapping landscapes of opinions towards brands and products, our goal is to map “sociostructural” landscapes of perceptions of social groups. In this work, we focus on the detection of views of social group status differences. We report an analysis of methods for detecting views of the legitimacy of income inequality in the U.S. from online discussions, and demonstrate detection rates competitive with results from similar tasks such as debate stance classification"--Abstract. gccst Social media gccst Public opinion gccst Computer science Riordan, Brian. Wade, Heather. Defence R&D Canada. Toronto Research Centre. External literature (N) (Defence R&D Canada) DRDC-RDDC-2018-N009. (CaOODSP)9.858173 PDF 465 KB https://publications.gc.ca/collections/collection_2018/rddc-drdc/D68-11-9-2018-eng.pdf