To Personalize or Depersonalize? When and How Politicians' Personalized Tweets Affect the Public's Reactions

Journal of Communication

Volumn 62, Issue 6, 2012, Pages 932-949

  Lee, Eun Ju ^a   Oh, Soo Youn ^a  

^a Seoul National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION; INTERNET; MASS MEDIA;

EID: 84870944547     PISSN: 00219916     EISSN: 14602466     Source Type: Journal    
DOI: 10.1111/j.1460-2466.2012.01681.x     Document Type: Article

References (37)

1. Auter, P. J. (1992). TV that talks back: An experimental validation of a parasocial interaction scale. Journal of Broadcasting & Electronic Media, 36(2), 173-181. doi: 10.1080/08838159209364165
2. Baesler, E. J., & Burgoon, J. K. (1994). The temporal effects of story and statistical evidence on belief change. Communication Research, 21(5), 582-602. doi: 10.1177/009365094021005002
3. Baym, N. K. (2010). Personal connections in the digital age. Cambridge, England: Polity Press.
4. boyd, d. m., & Ellison, N. B. (2007). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13(1), 210-230. doi: 10.1111/j.1083-6101.2007.00393.x
5. Brosius, H. B., & Bathelt, A. (1994). The utility of exemplars in persuasive communications. Communication Research, 21(1), 48-79. doi: 10.1177/009365094021001004
6. Burnkrant, R. E., & Unnava, H. R. (1995). Effects of self-referencing on persuasion. Journal of Consumer Research, 22(1), 17-26. doi: 10.2307/2489697
7. Cha, J.-H., & Cheong, J.-W. (1990). A report on the reliability and validity of need for affiliation scale. Korean Journal of Social Psychology, 5(1), 1-9. Retrieved from http://naver.nanet.go.kr/SearchDetailView.do?cn=KINX2011056021&sysid=nhn
8. Escalas, J. E. (2007). Self-referencing and persuasion: Narrative transportation versus analytical elaboration. Journal of Consumer Research, 33(4), 421-429. doi: 10.1086/510216
9. Green, M. C., & Brock, T. C. (2000). The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology, 79(5), 701-721. doi: 10.1037/0022-3514.79.5.701
10. Green, M. C., Kass, S., Carrey, J., Herzig, B., Feeney, R., & Sabini, J. (2008). Transportation across media: Repeated exposure to print and film. Media Psychology, 11(4), 512-539. doi: 10.1080/15213260802492000
11. Han, H. C. (2009). Does the content of political appeals matter in motivating participation? A field experiment on self-disclosure in political appeals. Political Behavior, 31(1), 103-116. doi: 10.1007/s11109-008-9066-9
12. Horton, D., & Wohl R. R. (1956). Mass communication and parasocial interaction: Observation on intimacy at a distance. Psychiatry, 19(3), 215-229. Retrieved from http://pao.chadwyck.co.uk/PDF/1337659817179.pdf
13. Jin, K.-J. (2012, January 25). GNP considers revealing 'Twitter Influence Index.' AsiaToday. Retrieved from http://www.asiatoday.co.kr/news/view.asp?seq=587508
14. Jun, J.-W., & Bae, S.-E. (2011, November 6). National Assembly members' Twitter use. Money Today. Retrieved from http://news.mt.co.kr/mtview.php?no=2011110618358279439
15. Keeter, S. (1987). The illusion of intimacy: Television and the role of candidate personal qualities in voter choice. Public Opinion Quarterly, 51(3), 344-358. doi: 10.1086/269040
16. Lang, A., Newhagen, J., & Reeves, B. (1996). Negative video as structure: Emotion, attention, capacity, and memory. Journal of Broadcasting & Electronic Media, 40(4), 460-477. doi: 10.1080/08838159609364369
17. Langer, A. I. (2007). A historical exploration of the personalisation of politics in the print media: The British prime ministers (1945-1999). Parliamentary Affairs, 60(3), 371-387. doi: 10.1093/pa/gsm028
18. Langer, A. I. (2010). The politicization of private persona: Exceptional leaders or the new rule? The case of the United Kingdom and the Blair effect. The International Journal of Press/Politics, 15(1), 60-76. doi: 10.1177/1940161209351003
19. Lassen, D. S., & Brown, A. R. (2010). Twitter: The electoral connection? Social Science Computer Review, 29(4), 419-436. doi: 10.1177/0894439310382749
20. Lau, R. R., & Redlawsk, D. P. (2001). Advantages and disadvantages of cognitive heuristics in political decision making. American Journal of Political Science, 45(4), 951-971. doi: 10.2307/2669334
21. Lee, E.-J. (2007). Effects of gendered language on gender stereotyping in computer-mediated communication: The moderating role of depersonalization and gender-role orientation. Human Communication Research, 33(4), 515-535. doi: 10.1111/j.1468-2958.2007.00310.x
22. Lee, E.-J. (2008). When are strong arguments stronger than weak arguments? Deindividuation effects on message elaboration in computer-mediated communication. Communication Research, 35(5), 646-665. doi: 10.1177/0093650208321784
23. Lee, E.-J., & Jang, J. (2011). Not so imaginary interpersonal contact with public figures on social network sites: How affiliative tendency moderates its effects. Communication Research. Advance online publication. doi: 10.1177/0093650211431579
24. Mehrabian, A. (1970). The development and validation of measures of affiliative tendency and sensitivity to rejection. Educational and Psychological Measurement, 30(2), 417-428. doi: 10.1177/001316447003000226
25. Mehrabian, A. (1994). Evidence bearing on the affiliative tendency and sensitivity to rejection scales. Current Psychology, 13(2), 97-116. doi: 10.1007/BF02686794
26. Miller, S., Rossbach, J., & Munson, R. (1981). Social density and affiliative tendency as determinants of dormitory residential outcomes. Journal of Applied Social Psychology, 11(4), 356-365. doi: 10.1111/j.1559-1816.1981.tb00828.x
27. Nowak, K. L., & Biocca, F. (2003). The effect of the agency and anthropomorphism on users' sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators and Virtual Environments, 12(5), 481-494. doi: 10.1162/105474603322761289
28. OikoLab. (2012). Twitter Korean index. Retrieved from http://tki.oiko.cc/service/count
29. Postmes, T., & Spears, R. (2002). Behavior online: Does anonymous computer communication reduce gender inequality? Personality and Social Psychology Bulletin, 28(8), 1073-1083. doi: 10.1177/01461672022811006
30. Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. New York, NY: Wiley.
31. Spears, R., Postmes, T., Lea, M., & Wolbert, A. (2002). When are net effects gross products? The power of influence and the influence of power in computer-mediated communication. Journal of Social Issues, 58(1), 91-107. doi: 10.1111/1540-4560.00250
32. Tanis, M., & Postmes, T. (2003). Social cues and impression formation in CMC. Journal of Communication, 53(4), 676-693. doi: 10.1111/j.1460-2466.2003.tb02917.x
33. Thorson, K. S., & Rodgers, S. (2006). Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. Journal of Interactive Advertising, 6(2), 34-44. Retrieved from http://jiad.org/article79
34. Utz, S. (2009). The (potential) benefits of campaigning via social network sites. Journal of Computer-Mediated Communication, 14(2), 221-243. doi: 10.1111/j.1083-6101.2009.01438.x
35. Walther, J. B., & Parks, M. R. (2002). Cues filtered out, cues filtered in: Computer-mediated communication and relationships. In M. L. Knapp, & J. A. Daly (Eds.), Handbook of interpersonal communication (3rd ed., pp. 529-563). Thousand Oaks, CA: Sage.
36. Warnick, B., Xenos, M., Endres, D., & Gastil, J. (2005). Effects of campaign-to-user and text-based interactivity in political candidate campaign web sites. Journal of Computer-Mediated Communication, 10(3), article 5. doi: 10.1111/j.1083-6101.2005.tb00253.x
37. Zillmann, D., & Brosius, H. (2000). Exemplification in communication: The influence of case report on the perception of issues. Mahwah, NJ: Erlbaum.