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Gender Swapping and User Behaviors
in Online Social Games
Jing-Kai Lou, Kunwoo Park, Meeyoung Cha,
Juyong Park, Chin-Laung Lei, Kuan-Ta Chen
In proc. of the 22nd International Conference on WWW 2013
2
Online game as a research platform
• Games provide lifelike virtual environments
– Social relationships: friends, guilds
– Chat
– Battles
– Trades
• Research opportunities
– Human mobility patterns [La and Michiardi, WOSN 2008]
– Understand the structure [Son et al., PLoS One 2012]
– Verify social theories [Szell and Thurner, Scientific Report 2013]
3
Gender is a strong social stimulus
• Ego’s view of alters depends heavily on their genders
[Credit: Final Fantasy XIII-3]
4
Research on gender roles
• Gender swapping is widespread
– Swapping first observed in MUD[Bruckman, Proc. Of Internet Society 1993]
– Two thirds of players do [Cole and Griffiths, Cyber Psychology & Behavior 2007]
• Gender roles
– Males play for a longer period of time and achieve higher
levels, while females play games to meet people
[Yee, MIT Press Journals 2006]
– Males are achievers and females are socializers
[Bartle, J. of Vir. Env. 1996]
– Homosexual players are likelier to swap genders
[Huh and Williams, Springer 2010]
Existing research on human behaviors has
relied on one-time self-reported data
5
Gender swapping
• Users can choose to play with avatars of their opposite gender
• Notation: Player-Gender.Avatar-Gender
4 types (M.M, M.F, F.M, F.F) for a given user
16 types for a given pair of users
M.F
Gender-swapped
M.M
Straight
Gender swapping Game data Our findings
[Credit: Little Big Planet]
7
Fairyland data
• Provided by the Lager Technology in Taiwan
• 4538 players and 17610 avatars in 2003
• player profiles (offline) – age, gender, zipcode
• avatar info (online) – avatar gender, friends list, activity
8
Correlation with geography
• Q: Are urbanites more likely to swap genders?
• A: No
Gender ratio was nearly consistent
in rural and urban areas (p=0.5697)
9
Correlation with player gender
• Q: Are male (or female) players more likely to swap genders?
• A: Yes, females (45%) do so more than males (37%)
Both male and female players owned similar numbers of avatars (p=0.1131)
but females were more likely to swap genders (p = 6.2228e-08)
10
Correlation with player maturity
• Q: Are older players more
likely to swap genders?
What about players with
many avatars?
• A: Yes to both Qs.
Experienced users may
know the benefits of
gender-swapping!
What are the potential benefits of gender swapping?
12
Impact on level-ups
• Q: Do gender swappers achieve a higher level more quickly?
– Leveling up takes an increasing amount of time as levels rise
– Male players level up more quickly than female players
– Players achieve a higher level more quickly with male avatars
Level-ups clearly show that players follow the
gender role theory that males are achievers
13
Impact on chat frequency
• Q: Who sends messages to whom?
– The odds ratio against random expectations
– Players are likely to send messages to opposite-gender avatars
– The trend is reversed in friendship formation
Males like to talk to those who dress up as females!
(and vice versa)
14
Impact on chat length
• Q: Do players chat longer when gender-swapped?
– Female players chat longer than male players (similar to phone calls)
– Chats are longer between opposite-gender avatarsChat activity also follows the gender role theory
15
Chat example
I am gender-
swapped! 
16
Impact on economic activity
• Q: Do gender-swappers get a better deal?
– Market price of the five most traded items and their expected gains
Female avatars tend to profit more in trades
17
Trade example
$12 $10 $15 $13Selling price
I am gender-
swapped! 
Gender swapping Game data Our findings
19
Potential applications
• Gender roles and identities are associated with the choice of avatars
• Bot detection: use gender-related features to boost accuracy
• Online identity fraud detection: find sexual deviants or predators
20
Summary
• Gender swapping is prevalent in online games
→ May indicate potential benefits
• Although chats occur more frequently between opposite-gender
avatars, friendships form between the same-gender players
→ Alternative identity does not completely mask the real persona
• Female players act more achievement-oriented when gender
swapped, while female avatars profit more in trades
→ Gamers' actions depend on their identity in games
OBRIGADA
21
22
Game characteristics
• Gender ratio: 40% of the players were female (other games: 16-32%)
• Age ratio: 87% of the players were aged between 10-30 (8% over 30)
• Peak hours: 8-9 PM (5AM the lowest)

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Gender Swapping and User Behaviors in Online Social Games

  • 1. Gender Swapping and User Behaviors in Online Social Games Jing-Kai Lou, Kunwoo Park, Meeyoung Cha, Juyong Park, Chin-Laung Lei, Kuan-Ta Chen In proc. of the 22nd International Conference on WWW 2013
  • 2. 2 Online game as a research platform • Games provide lifelike virtual environments – Social relationships: friends, guilds – Chat – Battles – Trades • Research opportunities – Human mobility patterns [La and Michiardi, WOSN 2008] – Understand the structure [Son et al., PLoS One 2012] – Verify social theories [Szell and Thurner, Scientific Report 2013]
  • 3. 3 Gender is a strong social stimulus • Ego’s view of alters depends heavily on their genders [Credit: Final Fantasy XIII-3]
  • 4. 4 Research on gender roles • Gender swapping is widespread – Swapping first observed in MUD[Bruckman, Proc. Of Internet Society 1993] – Two thirds of players do [Cole and Griffiths, Cyber Psychology & Behavior 2007] • Gender roles – Males play for a longer period of time and achieve higher levels, while females play games to meet people [Yee, MIT Press Journals 2006] – Males are achievers and females are socializers [Bartle, J. of Vir. Env. 1996] – Homosexual players are likelier to swap genders [Huh and Williams, Springer 2010] Existing research on human behaviors has relied on one-time self-reported data
  • 5. 5 Gender swapping • Users can choose to play with avatars of their opposite gender • Notation: Player-Gender.Avatar-Gender 4 types (M.M, M.F, F.M, F.F) for a given user 16 types for a given pair of users M.F Gender-swapped M.M Straight
  • 6. Gender swapping Game data Our findings [Credit: Little Big Planet]
  • 7. 7 Fairyland data • Provided by the Lager Technology in Taiwan • 4538 players and 17610 avatars in 2003 • player profiles (offline) – age, gender, zipcode • avatar info (online) – avatar gender, friends list, activity
  • 8. 8 Correlation with geography • Q: Are urbanites more likely to swap genders? • A: No Gender ratio was nearly consistent in rural and urban areas (p=0.5697)
  • 9. 9 Correlation with player gender • Q: Are male (or female) players more likely to swap genders? • A: Yes, females (45%) do so more than males (37%) Both male and female players owned similar numbers of avatars (p=0.1131) but females were more likely to swap genders (p = 6.2228e-08)
  • 10. 10 Correlation with player maturity • Q: Are older players more likely to swap genders? What about players with many avatars? • A: Yes to both Qs. Experienced users may know the benefits of gender-swapping!
  • 11. What are the potential benefits of gender swapping?
  • 12. 12 Impact on level-ups • Q: Do gender swappers achieve a higher level more quickly? – Leveling up takes an increasing amount of time as levels rise – Male players level up more quickly than female players – Players achieve a higher level more quickly with male avatars Level-ups clearly show that players follow the gender role theory that males are achievers
  • 13. 13 Impact on chat frequency • Q: Who sends messages to whom? – The odds ratio against random expectations – Players are likely to send messages to opposite-gender avatars – The trend is reversed in friendship formation Males like to talk to those who dress up as females! (and vice versa)
  • 14. 14 Impact on chat length • Q: Do players chat longer when gender-swapped? – Female players chat longer than male players (similar to phone calls) – Chats are longer between opposite-gender avatarsChat activity also follows the gender role theory
  • 15. 15 Chat example I am gender- swapped! 
  • 16. 16 Impact on economic activity • Q: Do gender-swappers get a better deal? – Market price of the five most traded items and their expected gains Female avatars tend to profit more in trades
  • 17. 17 Trade example $12 $10 $15 $13Selling price I am gender- swapped! 
  • 18. Gender swapping Game data Our findings
  • 19. 19 Potential applications • Gender roles and identities are associated with the choice of avatars • Bot detection: use gender-related features to boost accuracy • Online identity fraud detection: find sexual deviants or predators
  • 20. 20 Summary • Gender swapping is prevalent in online games → May indicate potential benefits • Although chats occur more frequently between opposite-gender avatars, friendships form between the same-gender players → Alternative identity does not completely mask the real persona • Female players act more achievement-oriented when gender swapped, while female avatars profit more in trades → Gamers' actions depend on their identity in games
  • 22. 22 Game characteristics • Gender ratio: 40% of the players were female (other games: 16-32%) • Age ratio: 87% of the players were aged between 10-30 (8% over 30) • Peak hours: 8-9 PM (5AM the lowest)