TY - GEN
T1 - Frames and slants in titles of visualizations on controversial topics
AU - Kong, Ha Kyung
AU - Liu, Zhicheng
AU - Karahalios, Karrie
PY - 2018/4/20
Y1 - 2018/4/20
N2 - Slanted framing in news article titles induce bias and influence recall. While recent studies found that viewers focus extensively on titles when reading visualizations, the impact of titles on visualization interpretation remains underexplored. We study frames in visualization titles, and how the slanted framing of titles and the viewer's pre-existing attitude impact recall, perception of bias, and change of attitude. When asked to compose visualization titles in our first study, people used five existing news frames, an open-ended frame, and a statistics frame. In our second study, we found that the slant of the title influenced the perceived main message of a visualization, with viewers deriving opposing messages from the same visu-alization. The results did not show any significant effect on attitude change. We highlight the danger of subtle statistics frames and viewers' unwarranted conviction of the neutrality of visualizations. Finally, we present design implications for the generation and viewing of visualization titles.
AB - Slanted framing in news article titles induce bias and influence recall. While recent studies found that viewers focus extensively on titles when reading visualizations, the impact of titles on visualization interpretation remains underexplored. We study frames in visualization titles, and how the slanted framing of titles and the viewer's pre-existing attitude impact recall, perception of bias, and change of attitude. When asked to compose visualization titles in our first study, people used five existing news frames, an open-ended frame, and a statistics frame. In our second study, we found that the slant of the title influenced the perceived main message of a visualization, with viewers deriving opposing messages from the same visu-alization. The results did not show any significant effect on attitude change. We highlight the danger of subtle statistics frames and viewers' unwarranted conviction of the neutrality of visualizations. Finally, we present design implications for the generation and viewing of visualization titles.
KW - Attitude change
KW - Bias
KW - Frame
KW - Visualization title
UR - http://www.scopus.com/inward/record.url?scp=85046972582&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85046972582&partnerID=8YFLogxK
U2 - 10.1145/3173574:3174012
DO - 10.1145/3173574:3174012
M3 - Conference contribution
AN - SCOPUS:85046972582
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PB - Association for Computing Machinery
T2 - 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Y2 - 21 April 2018 through 26 April 2018
ER -