Studying muslim stereotyping through microportrait extraction

LREC 2018 - 11th International Conference on Language Resources and Evaluation

Volumn , Issue , 2019, Pages 3734-3741

  Fokkens, Antske ^a   Ruigrok, Nel ^c   Beukeboom, Camiel ^a   Gagestein, Sarah ^b   Van Atteveldt, Wouter ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b LJS Nieuwsmonitor   (Netherlands)

^c Taalstrategie   (Netherlands)

Author keywords

Digital social science; Stereotyping; Text analysis

Indexed keywords

FIRST SYSTEMS; MEDIA COVERAGE; MUSLIMS; SOCIAL SCIENTISTS; STEREOTYPING; TARGET GROUP; TEXT ANALYSIS; WORD CLOUDS;

BEHAVIORAL RESEARCH;

EID: 85059905109     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (47)

1. Adriaansen, M., van Praag, P., et al. (2010). Nieuwe schei-dslijnen en de turbulente relatie tussen politiek, media en burgers.
2. Agerri, R. and Rigau, G. (2016). Robust multilingual named entity recognition with shallow semi-supervised features. Artificial Intelligence, 238:63-82.
3. Beukeboom, C. and Burgers, C. (2017). How stereotypes become shared knowledge: Biased language use in communication about categorized individuals.
4. Beukeboom, C. J., Finkenauer, C., and Wigboldus, D. H. (2010). The negation bias: when negations signal stereotypic expectancies. Journal of personality and social psychology, 99(6):978.
5. Beukeboom, C. J. (2014). Mechanisms of linguistic bias: How words reflect and maintain stereotypic expectancies. Social cognition and communication, 31:313-330.
6. Binns, R., Veale, M., Van Kleek, M., and Shadbolt, N. (2017). Like trainer, like bot? inheritance of bias in algorithmic content moderation. In International Conference on Social Informatics, pages 405-415. Springer.
7. Bolukbasi, T., Chang, K.-W., Zou, J. Y., Saligrama, V., and Kalai, A. T. (2016). Man is to computer programmer as woman is to homemaker? debiasing word embeddings. In Advances in Neural Information Processing Systems, pages 4349-4357.
8. Bouma, G., Van Noord, G., and Malouf, R. (2001). Alpino: Wide-coverage computational analysis of dutch. Language and Computers, 37(1):45-59.
9. Caliskan, A., Bryson, J. J., and Narayanan, A. (2017). Semantics derived automatically from language corpora contain human-like biases. Science, 356(6334):183-186.
10. Cappella, J. N. and Jamieson, K. H. (1996). News frames, political cynicism, and media cynicism. The Annals of the American Academy of Political and Social Science, 546(1):71-84.
11. Card, D., Boydstun, A. E., Gross, J. H., Resnik, P., and Smith, N. A. (2015). The media frames corpus: Annotations of frames across issues. In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers), volume 2, pages 438-444.
12. Card, D., Gross, J., Boydstun, A., and Smith, N. A. (2016). Analyzing framing through the casts of characters in the news. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1410-1420, Austin, Texas. Association for Computational Linguistics.
13. Carnaghi, A., Maass, A., Gresta, S., Bianchi, M., Cadinu, M., and Arcuri, L. (2008). Nomina sunt omina: on the inductive potential of nouns and adjectives in person perception. Journal of personality and social psychology, 94(5):839.
14. Cimpian, A. and Markman, E. M. (2008). Preschool children's use of cues to generic meaning. Cognition, 107(1):19-53.
15. Dixon, T. L. and Williams, C. L. (2015). The changing misrepresentation of race and crime on network and cable news. Journal of Communication, 65(1):24-39.
16. Entman, R. M. (1993). Framing: Toward clarification of a fractured paradigm. Journal of communication, 43(4):51-58.
17. Fokkens, A., Soroa, A., Beloki, Z., Ockeloen, N., Rigau, G., van Hage, W. R., and Vossen, P. (2014a). Naf and gaf: Linking linguistic annotations. In Proceedings 10th Joint ISO-ACL SIGSEM Workshop on Interoperable Semantic Annotation, pages 9-16.
18. Fokkens, A., Ter Braake, S., Ockeloen, N., Vossen, P., Legêne, S., and Schreiber, G. (2014b). Biographynet: Methodological issues when nlp supports historical research. In LREC, pages 3728-3735.
19. Fokkens, A., ter Braake, S., Ockeloen, N., Vossen, P., Legêne, S., Schreiber, G., and de Boer, V. (2017). Biographynet: Extracting relations between people and events. In Europa baut auf Biographien.
20. Gelman, S. A. (1988). The development of induction within natural kind and artifact categories. Cognitive psychology, 20(1):65-95.
21. Gottschalk, P. and Greenberg, G. (2008). Islamophobia: making Muslims the enemy. Rowman & Littlefield.
22. Hammer, E. D. and Ruscher, J. B. (1997). Conversing dyads explain the unexpected: Narrative and situational explanations for unexpected outcomes. British journal of social psychology, 36(3):347-359.
23. Howard, A. and Borenstein, J. (2017). The ugly truth about ourselves and our robot creations: The problem of bias and social inequity. Science and Engineering Ethics, pages 1-16.
24. Jackson, L. (2010). Images of islam in us media and their educational implications. Educational Studies: Journal of the American Educational Studies Association, 46(1):3-24.
25. Joseph, K., Wei, W., and Carley, K. M. (2017). Girls rule, boys drool: Extracting semantic and affective stereotypes from twitter. In CSCW, pages 1362-1374.
26. Klein, O., Tindale, S., and Brauer, M. (2008). The consen-sualization of stereotypes in small groups. Stereotype dynamics: Language-based approaches to the formation, maintenance, and transformation of stereotypes, pages 263-292.
27. Lee, H., Chang, A., Peirsman, Y., Chambers, N., Surdeanu, M., and Jurafsky, D. (2013). Deterministic coreference resolution based on entity-centric, precision-ranked rules. Computational Linguistics, 39(4):885-916.
28. Maass, A., Milesi, A., Zabbini, S., and Stahlberg, D. (1995). Linguistic intergroup bias: differential expectancies or in-group protection? Journal of Personality and Social Psychology, 1(68):116-126.
29. Rehman, J. (2007). 9/11 and the war on terrorism: The clash of 'words', 'cultures' and 'civilisations': Myth or reality. In M.N. Craith, editor, Language, Power, and Identity Politics, pages 198-215, New York. Palgrave Macmillan.
30. Ruigrok, N., Fokkens, A., Gagenstein, S., and van Atteveldt, W. (2017a). Stereotyperende microportretten van moslims in het (politieke) nieuws. Technical report.
31. Ruigrok, N., van Atteveldt, W., Gagestein, S., and Jacobi, C. (2017b). Media and juvenile delinquency: A study into the relationship between journalists, politics, and public. Journalism, page 1464884916636143.
32. Ruscher, J. B., Cralley, E. L., and O'Farrell, K. J. (2005). How newly acquainted dyads develop shared stereotypic impressions through conversation. Group Processes & Intergroup Relations, 8(3):259-270.
33. Saeed, A. (2007). Media, racism and islamophobia: The representation of islam and muslims in the media. Sociology Compass, 1(2):443-462.
34. Schemer, C. (2012). The influence of news media on stereotypic attitudes toward immigrants in a political campaign. Journal of Communication, 62(5):739-757.
35. Sheridan, L. P. (2006). Islamophobia pre-and post-september 11th, 2001. Journal of interpersonal violence, 21(3):317-336.
36. Sides, J. and Gross, K. (2013). Stereotypes of muslims and support for the war on terror. The Journal of Politics, 75(3):583-598.
37. Sonck, N. and de Haan, J. (2015). Media: Tijd in beeld.
38. Stadlbauer, S. (2012). A journey to a “pure islam”: Time, space, and the resignification of ritual in post 9/11 faith testimonies of muslim women. Narrative Inquiry, 22(2):348-365.
39. Tulkens, S., Hilte, L., Lodewyckx, E., Verhoeven, B., and Daelemans, W. (2016). The automated detection of racist discourse in dutch social media. Computational Linguistics in the Netherlands Journal, 6(1):3-20.
40. van Miltenburg, E., Morante, R., and Elliott, D. (2016). Pragmatic factors in image description: The case of negations. In Proceedings of the 5th Workshop on Vision and Language, pages 54-59. ACL.
41. van Miltenburg, E. (2016). Stereotyping and bias in the flickr30k dataset. In Jens Edlund, et al., editors, Proceedings of Multimodal Corpora: Computer vision and language processing (MMC 2016), pages 1-4.
42. Vossen, P., Agerri, R., Aldabe, I., Cybulska, A., van Erp, M., Fokkens, A., Laparra, E., Minard, A.-L., Aprosio, A. P., Rigau, G., et al. (2016). Newsreader: Using knowledge resources in a cross-lingual reading machine to generate more knowledge from massive streams of news. Knowledge-Based Systems, 110:60-85.
43. Wagner, W., Sen, R., Permanadeli, R., and Howarth, C. S. (2012). The veil and muslim women's identity: Cultural pressures and resistance to stereotyping. Culture & Psychology, 18(4):521-541.
44. Welbers, K., van Atteveldt, W., Kleinnijenhuis, J., Ruigrok, N., and Schaper, J. (2015). News selection criteria in the digital age: Professional norms versus online audience metrics. Journalism, 17(8):1037-1053.
45. Wigboldus, D. H., Semin, G. R., and Spears, R. (2000). How do we communicate stereotypes? linguistic bases and inferential consequences. Journal of Personality and Social Psychology, 1(78):5-18.
46. Wolfsfeld, G. (2011). Making sense of media and politics: Five principles in political communication. Taylor and Francis.
47. Card, Dallas and Boydstun, Amber E and Gross, Justin H and Resnik, Philip and Smith, Noah A. (2015). The media frames corpus. School of Computer Science, Carnegie Mellon University, 2.0.