News cues: Information scent and cognitive heuristics

Journal of the American Society for Information Science and Technology

Volumn 58, Issue 3, 2007, Pages 366-378

  Shyam Sundar, S ^a   Knobloch Westerwick, Silvia ^b   Hastall, Matthias R ^c  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b OHIO STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ERFURT   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

BANDWAGON HEURISTICS; INTERNET USERS; NEWS SELECTION; SOURCE CREDIBILITY;

HEURISTIC METHODS; INFORMATION SCIENCE; INTERNET; MESSAGE PASSING; SEARCH ENGINES; SOCIETIES AND INSTITUTIONS;

COGNITIVE SYSTEMS;

EID: 33847693227     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.20511     Document Type: Article

References (46)

1. Barry, C. L., & Schamber, L. (1998). Users' criteria for relevance evaluation: A cross-situational comparison. Information Processing & Management, 34(2, 3), 219-236.
2. Borlund, P. (2003). The concept of relevance in IR. Journal of the American Society for Information Science and Technology, 54(10), 913-925.
3. Chaiken, S. (1987). The heuristic model of persuasion. In M. P. Zanna, J. M. Olson, & C. P. Herman (Eds.), Social influence: The Ontario symposium, 5 (pp. 3-39). Hillsdale, NJ: Erlbaum.
4. Chaiken, S., & Trope, Y. (Eds.). (1999). Dual-process theories in social psychology. New York: Guildford.
5. Chung, W., Chen, H., & Nunamaker, Jr., J. F. (2005). A visual framework for knowledge discovery on the Web: An empirical study of business intelligence exploration. Journal of Management Information Systems, 21(4), 57-84.
6. Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The Information Society, 20, 325-344.
7. Fiske, S. T., & Taylor, S. E. (1991). Social cognition (2nd ed.). New York: McGraw-Hill.
8. Flanagin, A. J., & Metzger, M. J. (2000). Perceptions of Internet information credibility. Journalism & Mass Communication Quarterly, 77, 515-540.
9. Fogg, B. J. (2003). Motivating, influencing, and persuading users. In J. A. Jacko & A. Sears (Eds.), The human-computer interaction handbook: Fundamentals, evolving technologies and emerging applications (pp. 358-370). Mahwah, NJ: Lawrence Erlbaum Associates.
10. Garcia, M. L., & Caldera, C. I. (1996). The effect of color and typeface on the readability of on-line text. Computers and Industrial Engineering, 31(1/2), 519-524.
11. Gibson, O. (2004, April 5). Media: New media: Big news from the Google-plex. The Guardian, p. 42.
12. Gunther, A. (1988). Attitude extremity and trust in media. Journalism Quarterly, 65(2), 279-287.
13. Hall, R. H., & Hanna, P. (2003, August). The effect of Web page text-background color combinations on retention and perceived readability, aesthetics and behavioral intention. Paper presented at the Ninth Americas Conference on Information Systems, Tampa, FL.
14. Hass, R. G. (1988). Effects of source characteristics on cognitive responses and persuasion. In R. E. Petty, T. M. Ostrom, & T. C. Brock (Eds.), Cognitive responses in persuasion (pp. 141-175). Hillsdale, NJ: Lawrence Erlbaum Associates.
15. Introna, L. D., & Nissenbaum, H. (2000). Shaping the Web: Why the politics of search engines matters. The Information Society, 16, 169-185.
16. Johnson, T. J., & Kaye, B. K. (2000). Using is believing: The influence of reliance on the credibility of online political information among politically interested Internet users. Journalism & Mass Communication Quarterly, 77, 865-879.
17. Johnson, T. J., & Kaye, B. K. (2002). Webelievability: A path model examining how convenience and reliance predict online credibility. Journalism & Mass Communication Quarterly, 79, 619-642.
18. Kalyanaraman, S., & Oliver, M. B. (2001, May). Information processing of multiple peripheral cues. Paper presented at the Annual Conference of the International Communication Association, Washington, DC.
19. Knobloch, S., Hastall, M. R., Zillmann, D., & Callison, C. (2003). Imagery effects on the selective reading of Internet newsmagazines: A cross-cultural examination. Communication Research, 30(1), 3-29.
20. Knobloch-Westerwick, S., Sharma, N., Hansen, D. L., & Alter, S. (2005). Impact of popularity indications on readers' selective exposure to online news. Journal of Broadcasting and Electronic Media, 49(3), 296-313.
21. Latour, B., & Johnson, J. (1988). Mixing humans and non-humans together: The sociology of a door-closer. Social Problems, 35, 298-310.
22. Laurel, B. (1990). Interface agents: metaphors with character. In B. Laurel (Ed.), The art of human-computer interface design (pp. 355-365). Menlo Park, CA: Addison-Wesley.
23. Lawrence, S., & Giles, C. L. ( 1999). Accessibility and distribution of information on the Web. Nature, 400, 107-109.
24. Lee, S. H., & Boling, E. (1999). Screen design guidelines for motivation in interactive multimedia instruction: A survey and framework for designers. Educational Technology, 39(3), 19-26.
25. McCombs, M. E., & Shaw, D. L. (1972). The agenda-setting function of mass media. Public Opinion Quarterly, 36, 176-187.
26. Metzger, M. J., Flanagin, A. J., Eyal, K., Lemus, D., & McCann, R. (2003). Credibility for the 21st century: Integrating perspectives on source, message, and media credibility in the contemporary media environment. In P. Kalbfleisch (Ed.), Communication yearbook 27 (pp. 293-335). Mahwah, NJ: Lawrence Erlbaum.
27. Mizzaro, S. (1997). Relevance: the whole history. Journal of the American Society for Information Science, 48(9), 810-832.
28. Mowshowitz, A., & Kawaguchi, A. (2002). Bias on the Web. Communications of the ACM, 45(9), 56-60.
29. Nass, C., & Moon, Y. (2000). Machines and mindlessness: Social responses to computers. Journal of Social Issues, 56(1), 81-103.
30. Ong, T., Chen, H., Sung, W., & Zhu, B. (2005). Newsmap: A knowledge map for online news. Decision Support Systems, 39(4), 583-597.
31. Pirolli, P. (1997). Computational models of information-scent following in a very large browsable text collection. In S. Pemberton (Ed.), Proceedings of the Conference on Human factors in Computing Systems (CHI' 97), Atlanta, GA (pp. 3-10). New York, ACM Press.
32. Pirolli, P. (2003). Exploring and finding information. In J. Carroll (Ed.), HCI models, theories and frameworks: Toward a multidisciplinary science (pp. 157-191). San Francisco: Morgan Kauffmann.
33. Pirolli, P., & Card, S. K. (1999). Information foraging. Psychological Review, 106, 643-675.
34. Pirolli, P., Card, S. K., & Van Der Wege, M. M. (2001). Visual information foraging in a focus-content visualization. In J. Jacko & A. Sears (Eds.), Proceedings of the Conference on Human factors in Computing Systems (CHI'01), Seattle, WA (pp. 506-513). New York: ACM Press.
35. Posner, R. A. (2005, July 31). Bad news. The New York Times, Section 7, p. 1.
36. Reeves, B., & Nass, C. (1996). The media equation: How people treat computers, television, and new media like real people and places. Stanford, CA: CSLI Publications and Cambridge University Press.
37. Saracevic, T. (1996). Relevance reconsidered. In P. Ingwersen & N. O. Pors (Eds.), Information science: Integration in perspective (pp. 201-218). Copenhagen: Royal School of Library and Information Science.
38. Schamber, L., & Bateman, J. (1996). User criteria in relevance evaluation: Toward development of a measurement scale. Journal of the American Society for Information Science, 33, 218-225.
39. Schamber, L., Eisenberg, M., & Nilan, M. (1990). A re-examination of relevance: Toward a dynamic, situational definition. Information Processing & Management, 26(6), 755-776.
40. Shannon, C., & Weaver, W. (1949). The mathematical theory of communication. Urbana, IL: University of Illinois Press.
41. Shoemaker, P. J. (1991). Communication concepts 3: Gatekeeping. Newbury Park, CA: Sage Publications.
42. Sundar, S. S. (1999). Exploring receivers' criteria for perception of print and online news. Journalism & Mass Communication Quarterly, 76(2), 373-386.
43. Sundar, S. S., & Nass, C. (2001). Conceptualizing sources in online news. Journal of Communication, 51(1), 52-72.
44. Tombros, A., Ruthven, I., & Jose, J. M. (2005). How users assess Web pages for information seeking. Journal of the American Society for Information Science and Technology, 56(4), 327-344.
45. Walker, L. (2004, August 1). Microsoft deploys newsbot to track down headlines. The Washington Post, p. F6.
46. Wilson, E. J., & Sherrell, D. L. (1993). Source effects in communication and persuasion research: A meta-analysis of effect size, Journal of the Academy of Marketing Science, 21(2), 101-112.