Investigating the occurrence of selfie-based emotional contagion over social network

Happiness is obviously one of the most fundamental essence that affects many aspects of our lives. Past research found that happiness of one person affects that of other people. What occurs under this propagation of emotion is called “emotional contagion,” a phenomenon wherein through perception, people experience the same emotion expressed by someone when communicating with them. Although online communication is increasing due to growth of mobile computing, emotional contagion on online communication is not well studied yet. Particularly, it is not yet clear if emotional contagion among people occurs through selfie photographs posted on the social network media. We implemented “SmileWave,” the social networking system for investigating selfie-based emotional contagion. The key feature of SmileWave is detecting “smile degree” in user’s posting selfies and in reactive facial expressions when the user is viewing the posted photographs from others. Our in-the-wild user studies with 38 participants for 2 weeks revealed the occurrence of selfie-based emotional contagion over the social network, based on the results that the users’ smile degree improved (15% on average) when the user looked at posted selfie photographs.

[1]  Emilio Ferrara,et al.  Measuring Emotional Contagion in Social Media , 2015, PloS one.

[2]  Jie Tang,et al.  Modeling Emotion Influence in Image Social Networks , 2015, IEEE Transactions on Affective Computing.

[3]  P. Ekman Facial expression and emotion. , 1993, The American psychologist.

[4]  E. Hatfield,et al.  New Perspectives on Emotional Contagion: A Review of Classic and Recent Research on Facial Mimicry and Contagion , 2014 .

[5]  Sigal G. Barsade,et al.  Mood and Emotions in Small Groups and Work Teams , 2001 .

[6]  J. Hietanen,et al.  Facial and emotional reactions to Duchenne and non-Duchenne smiles. , 1998, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[7]  N. Christakis,et al.  Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study , 2008, BMJ : British Medical Journal.

[8]  W. S. Condon,et al.  SOUND FILM ANALYSIS OF NORMAL AND PATHOLOGICAL BEHAVIOR PATTERNS , 1966, The Journal of nervous and mental disease.

[9]  R. Buck Nonverbal behavior and the theory of emotion: the facial feedback hypothesis. , 1980, Journal of personality and social psychology.

[10]  George Loewenstein,et al.  Whose quality of life? A commentary exploring discrepancies between health state evaluations of patients and the general public , 2003, Quality of Life Research.

[11]  Timothy D. Wilson,et al.  "HOW HAPPY WAS I, ANYWAY?" A RETROSPECTIVE IMPACT BIAS , 2003 .

[12]  William Ickes,et al.  Posture mirroring and interactional involvement: Sex and sex typing effects , 1981 .

[13]  R. Saavedra,et al.  The contagious leader: impact of the leader's mood on the mood of group members, group affective tone, and group processes. , 2005, The Journal of applied psychology.

[14]  Jeffrey T. Hancock,et al.  Experimental evidence of massive-scale emotional contagion through social networks , 2014, Proceedings of the National Academy of Sciences.

[15]  Sigal G. Barsade The Ripple Effect: Emotional Contagion and its Influence on Group Behavior , 2002 .

[16]  J. Cacioppo,et al.  Emotional Contagion , 1993 .

[17]  Thomas R. Peterson,et al.  Effects of Self-Generated Facial Expressions on Mood , 1998 .

[18]  D. Holden,et al.  Creating Emotional Resonance: Interpersonal Emotion Work and Motivational Framing in a Transgender Community , 2004 .

[19]  A. van Knippenberg,et al.  The Role of Facial Mimicry in the Recognition of Affect , 2008, Psychological science.