Tweeting Social Support Messages After a Non-Celebrity's Death: The Case of the Philippines' #Fallen44

Nowadays, social networking sites have provided an accessible means to convey social support to grievers who mourn for the dead. To explore how Twitter is used to convey social support after a non-celebrity's death, this study conducted a content analysis of 1,557 Twitter posts bearing the hashtag #Fallen44--a reference to the death of 44 elite Philippine policemen during a terrorist manhunt. Using a hybrid coding approach, the findings show that Twitter users conveyed social support by sending informational (56.28%) and emotional (39.76%) support messages. Informational support was mostly expressed by posting or sharing pictures and news articles relevant to the Fallen44, while emotional support was mostly conveyed by paying tribute, showing sympathy, and offering prayers for them. Moreover, a small proportion (3.96%) of tweets did not convey social support but reflected humor or anger or were spam messages. This study is one of the first to provide empirical support for the use of Twitter to convey social support after a non-celebrity's death in an Asian setting. Practical and theoretical implications for online social support are discussed.

[1]  C. Cutrona,et al.  Exploration of Support Behavior in Counseling Groups With Counseling Trainees , 2012 .

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

[3]  Jocelyn M. DeGroot “For Whom the Bell Tolls”: Emotional Rubbernecking in Facebook Memorial Groups , 2014, Death studies.

[4]  R. Beneito-Montagut Ethnography goes online: towards a user-centred methodology to research interpersonal communication on the internet , 2011 .

[5]  Halim Rane,et al.  Social media, social movements and the diffusion of ideas in the Arab uprisings , 2012 .

[6]  Jong Kim,et al.  Early filtering of ephemeral malicious accounts on Twitter , 2014, Comput. Commun..

[7]  Abbe E. Forman,et al.  R.I.P.: Remain in perpetuity. Facebook memorial pages , 2013, Telematics Informatics.

[8]  Margaret Gibson,et al.  Death and mourning in technologically mediated culture , 2007 .

[9]  Ming Liu,et al.  An analysis of social support exchanges in online HIV/AIDS self-help groups , 2009, Comput. Hum. Behav..

[10]  Helvi Kyngäs,et al.  The qualitative content analysis process. , 2008, Journal of advanced nursing.

[11]  Jillian C. York,et al.  Social Media and the Activist Toolkit: User Agreements, Corporate Interests, and the Information Infrastructure of Modern Social Movements , 2012 .

[12]  J. Suhr,et al.  Controllability of Stressful Events and Satisfaction With Spouse Support Behaviors , 1992 .

[13]  Dion Hoe-Lian Goh,et al.  "Gone too soon": did Twitter grieve for Michael Jackson? , 2012, Online Inf. Rev..

[14]  Han Woo Park,et al.  Measuring Twitter-based political participation and deliberation in the South Korean context by using social network and Triple Helix indicators , 2011, Scientometrics.

[15]  Tamara A. Small WHAT THE HASHTAG? , 2011 .

[16]  U. Molander,et al.  Family and friends provide most social support for the bereaved , 2009, Palliative medicine.

[17]  Nick Koudas,et al.  TwitterMonitor: trend detection over the twitter stream , 2010, SIGMOD Conference.

[18]  Maria de Fatima Oliveira,et al.  Affective News and Networked Publics: The Rhythms of News Storytelling on #Egypt , 2012 .

[19]  S. J. Sullivan,et al.  ‘What's happening?’ A content analysis of concussion-related traffic on Twitter , 2011, British Journal of Sports Medicine.

[20]  D. Courbet,et al.  When a celebrity dies …Social identity, uses of social media, and the mourning process among fans: the case of Michael Jackson , 2014 .

[21]  Shalin Hai-Jew Analyzing Social Media Networks with NodeXL: Insights from a Connected World , 2012 .

[22]  J. Fereday,et al.  Demonstrating Rigor Using Thematic Analysis: A Hybrid Approach of Inductive and Deductive Coding and Theme Development , 2006 .

[23]  Michael Kirby,et al.  Loneliness, social support networks, mood and wellbeing in community‐dwelling elderly , 2009, International journal of geriatric psychiatry.

[24]  B. Loader,et al.  What the hashtag? A content analysis of Canadian politics on Twitter TAMARA A . SMALL , 2012 .

[25]  Ruben Fukkink,et al.  Peer Counseling in an Online Chat Service: A Content Analysis of Social Support , 2011, Cyberpsychology Behav. Soc. Netw..

[26]  Sheldon Cohen,et al.  Positive Events and Social Supports as Buffers of Life Change Stress , 1983 .

[27]  M. Broersma,et al.  SOCIAL MEDIA AS BEAT , 2012 .

[28]  Brian Carroll,et al.  Logging On and Letting Out: Using Online Social Networks to Grieve and to Mourn , 2010 .

[29]  A. Bruns,et al.  POLITICAL NETWORKS ON TWITTER , 2013 .

[30]  E. Kübler-Ross On Death and Dying , 1972, Mental Health.

[31]  D. Paulhus,et al.  Trolls just want to have fun , 2014 .

[32]  Pamela J. Lannutti,et al.  Death on Facebook , 2015 .

[33]  Dominic L. Lasorsa,et al.  NORMALIZING TWITTER , 2012 .

[34]  Christopher M. Danforth,et al.  Temporal Patterns of Happiness and Information in a Global Social Network: Hedonometrics and Twitter , 2011, PloS one.

[35]  Neil S. Coulson,et al.  Receiving Social Support Online: An Analysis of a Computer-Mediated Support Group for Individuals Living with Irritable Bowel Syndrome , 2005, Cyberpsychology Behav. Soc. Netw..

[36]  Wei Hu,et al.  Twitter spammer detection using data stream clustering , 2014, Inf. Sci..

[37]  Alice E. Marwick,et al.  “There Isn't Wifi in Heaven!” Negotiating Visibility on Facebook Memorial Pages , 2012 .