Abstract
Informal discussions of mental illness take place every day in social media. In the case of obsessive-compulsive disorder (OCD), in particular, widespread use of the hashtag "#OCD" indicates that social media users often trivialize the disease. The present study used a 3 × 2 × 2 between-subjects fully factorial online experiment (N = 574, recruited from Amazon's Mechanical Turk platform) to test the impact of trivialized framing of this disease on perceptions of social media users who employ such language, as well as on perceptions of people with OCD as a group. Additionally, this study tested the effects of the gender of the Twitter avatar and self-identification in the avatar biography as an individual with OCD on these perceptions. Three-way analyses of covariance (ANCOVA) assessed the impact of the manipulations (i.e., content frame, gender of the avatar, self-identification with OCD). Results indicate that language use, gender, and self-identification influence impression formation in a social media environment.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 251-258 |
| Number of pages | 8 |
| Journal | Computers in Human Behavior |
| Volume | 49 |
| DOIs | |
| State | Published - Jan 1 2015 |
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All Science Journal Classification (ASJC) codes
- Arts and Humanities (miscellaneous)
- Human-Computer Interaction
- Psychology(all)
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That's so OCD : The effects of disease trivialization via social media on user perceptions and impression formation. / Pavelko, Rachelle L.; Myrick, Jessica.
In: Computers in Human Behavior, Vol. 49, 01.01.2015, p. 251-258.Research output: Contribution to journal › Article
TY - JOUR
T1 - That's so OCD
T2 - The effects of disease trivialization via social media on user perceptions and impression formation
AU - Pavelko, Rachelle L.
AU - Myrick, Jessica
PY - 2015/1/1
Y1 - 2015/1/1
N2 - Informal discussions of mental illness take place every day in social media. In the case of obsessive-compulsive disorder (OCD), in particular, widespread use of the hashtag "#OCD" indicates that social media users often trivialize the disease. The present study used a 3 × 2 × 2 between-subjects fully factorial online experiment (N = 574, recruited from Amazon's Mechanical Turk platform) to test the impact of trivialized framing of this disease on perceptions of social media users who employ such language, as well as on perceptions of people with OCD as a group. Additionally, this study tested the effects of the gender of the Twitter avatar and self-identification in the avatar biography as an individual with OCD on these perceptions. Three-way analyses of covariance (ANCOVA) assessed the impact of the manipulations (i.e., content frame, gender of the avatar, self-identification with OCD). Results indicate that language use, gender, and self-identification influence impression formation in a social media environment.
AB - Informal discussions of mental illness take place every day in social media. In the case of obsessive-compulsive disorder (OCD), in particular, widespread use of the hashtag "#OCD" indicates that social media users often trivialize the disease. The present study used a 3 × 2 × 2 between-subjects fully factorial online experiment (N = 574, recruited from Amazon's Mechanical Turk platform) to test the impact of trivialized framing of this disease on perceptions of social media users who employ such language, as well as on perceptions of people with OCD as a group. Additionally, this study tested the effects of the gender of the Twitter avatar and self-identification in the avatar biography as an individual with OCD on these perceptions. Three-way analyses of covariance (ANCOVA) assessed the impact of the manipulations (i.e., content frame, gender of the avatar, self-identification with OCD). Results indicate that language use, gender, and self-identification influence impression formation in a social media environment.
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UR - http://www.scopus.com/inward/citedby.url?scp=84925296702&partnerID=8YFLogxK
U2 - 10.1016/j.chb.2015.02.061
DO - 10.1016/j.chb.2015.02.061
M3 - Article
VL - 49
SP - 251
EP - 258
JO - Computers in Human Behavior
JF - Computers in Human Behavior
SN - 0747-5632
ER -