Abstract
This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on About.me, we identify and extract matched user profiles on several major social networks including Facebook, Twitter, LinkedIn, and Instagram. We find evidence for distinct site-specific norms, such as differences in the language used in the text of the profile self-description, and the kind of picture used as profile image. By learning a model that robustly identifies the platform given a user's profile image (0.657-0.829 AUC) or self-description (0.608-0.847 AUC), we confirm that users do adapt their behaviour to individual platforms in an identifiable and learnable manner. However, different genders and age groups adapt their behaviour differently from each other, and these differences are, in general, consistent across different platforms. We show that differences in social profile construction correspond to differences in how formal or informal the platform is.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017 |
| Publisher | AAAI press |
| Pages | 397-406 |
| Number of pages | 10 |
| ISBN (Electronic) | 9781577357889 |
| State | Published - Jan 1 2017 |
| Event | 11th International Conference on Web and Social Media, ICWSM 2017 - Montreal, Canada Duration: May 15 2017 → May 18 2017 |
Publication series
| Name | Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017 |
|---|
Other
| Other | 11th International Conference on Web and Social Media, ICWSM 2017 |
|---|---|
| Country | Canada |
| City | Montreal |
| Period | 5/15/17 → 5/18/17 |
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
Cite this
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Wearing many (social) hats : How different are your different social network personae? / Zhong, Changtao; Chang, Hau Wen; Karamshuk, Dmytro; Lee, Dongwon; Sastry, Nishanth.
Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017. AAAI press, 2017. p. 397-406 (Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Wearing many (social) hats
T2 - How different are your different social network personae?
AU - Zhong, Changtao
AU - Chang, Hau Wen
AU - Karamshuk, Dmytro
AU - Lee, Dongwon
AU - Sastry, Nishanth
PY - 2017/1/1
Y1 - 2017/1/1
N2 - This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on About.me, we identify and extract matched user profiles on several major social networks including Facebook, Twitter, LinkedIn, and Instagram. We find evidence for distinct site-specific norms, such as differences in the language used in the text of the profile self-description, and the kind of picture used as profile image. By learning a model that robustly identifies the platform given a user's profile image (0.657-0.829 AUC) or self-description (0.608-0.847 AUC), we confirm that users do adapt their behaviour to individual platforms in an identifiable and learnable manner. However, different genders and age groups adapt their behaviour differently from each other, and these differences are, in general, consistent across different platforms. We show that differences in social profile construction correspond to differences in how formal or informal the platform is.
AB - This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. Using the personal webpages of 116,998 users on About.me, we identify and extract matched user profiles on several major social networks including Facebook, Twitter, LinkedIn, and Instagram. We find evidence for distinct site-specific norms, such as differences in the language used in the text of the profile self-description, and the kind of picture used as profile image. By learning a model that robustly identifies the platform given a user's profile image (0.657-0.829 AUC) or self-description (0.608-0.847 AUC), we confirm that users do adapt their behaviour to individual platforms in an identifiable and learnable manner. However, different genders and age groups adapt their behaviour differently from each other, and these differences are, in general, consistent across different platforms. We show that differences in social profile construction correspond to differences in how formal or informal the platform is.
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M3 - Conference contribution
T3 - Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017
SP - 397
EP - 406
BT - Proceedings of the 11th International Conference on Web and Social Media, ICWSM 2017
PB - AAAI press
ER -