Empirical Analysis of Social Support Provided via Social Media

Social media are an effective means for people to share everyday problems with their peers. Although this often leads to empathic responses which help alleviate the experienced stress, such peer support is not always available. As an alternative solution for such situations, this paper explores the possibilities to develop an ‘artificial friend’ that offers online social support through text messages. To formulate the requirements for such a system, a pilot study was performed in which 230 participants were asked (via a crowdsourcing platform) to report their experiences regarding online peer support. The results have been converted into a number of working hypotheses about online peer support. Based on these hypotheses, a conceptual framework has been developed that describes the functioning of the proposed support system.

[1]  S. Cobb.  Presidential Address-1976. Social support as a moderator of life stress. , 1976, Psychosomatic medicine.

[2]  N. Burks,et al.  Everyday problems and life change events: ongoing versus acute sources of stress. , 1985, Journal of human stress.

[3]  T. Wills,et al.  Stress, social support, and the buffering hypothesis. , 1985, Psychological bulletin.

[4]  J. Gross.  Emotion regulation: affective, cognitive, and social consequences. , 2002, Psychophysiology.

[5]  J. Powell,et al.  Primary care Health related virtual communities and electronic support groups : systematic review of the effects of online peer to peer interactions , 2004 .

[6]  Stephanie Rosenthal,et al.  Designing robots for long-term social interaction , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[7]  Ross A. Thompson,et al.  Emotion regulation: Conceptual foundations , 2007 .

[8]  Michele Williams.  Building genuine trust through interpersonal emotion management: A threat regulation model of trust and collaboration across boundaries , 2007 .

[9]  Shelley E. Taylor,et al.  Culture and social support. , 2008, The American psychologist.

[10]  T. Nakayama,et al.  Potential Benefits and Harms of a Peer Support Social Network Service on the Internet for People With Depressive Tendencies: Qualitative Content Analysis and Social Network Analysis , 2009, Journal of medical Internet research.

[11]  Anabel Quan-Haase,et al.  Uses and Gratifications of Social Media: A Comparison of Facebook and Instant Messaging , 2010 .

[12]  Jan Treur,et al.  Analysis and Support of Lifestyle via Emotions Using Social Media , 2012, SocInfo.

[13]  Catholijn M. Jonker,et al.  A Conversation Model Enabling Intelligent Agents to Give Emotional Support , 2012, Modern Advances in Intelligent Systems and Tools.

[14]  Ana Paiva,et al.  The influence of empathy in human-robot relations , 2013, Int. J. Hum. Comput. Stud..

[15]  Judith Masthoff,et al.  Towards Effective Emotional Support for Community First Responders Experiencing Stress , 2013, 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction.

[16]  Kallirroi Georgila,et al.  SimSensei kiosk: a virtual human interviewer for healthcare decision support , 2014, AAMAS.

[17]  Kang Liu,et al.  Book Review: Sentiment Analysis: Mining Opinions, Sentiments, and Emotions by Bing Liu , 2015, CL.