Literature review on self-harm content on x (Twitter) created and shared by youth and teenagers
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Abstract
The aim of the research is to establish the state of the art on non-suicidal self-harm content created and shared by young people and adolescents on X (Twitter). The PRISMA methodology applied consists of a descriptive review of scientific articles published in journals (in English and Spanish), between 2013 and July 2023, in international multidisciplinary databases (WOS, SCOPUS and GOOGLE SCHOLAR). Through the strategy of searching, reviewing and screening the publications, 15 articles were selected and analyzed. The result of the exhaustive analysis of the studies that inform these publications has made it possible to identify the most relevant topics covered and methodologies used. This review highlights the scarcity of studies on the subject from the exclusive field of communication/sociology and serves as a basis for further studies of an interdisciplinary nature to respond to the existing gaps
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Ministerio de Ciencia, Innovación y Universidades
Grant numbers PID2021-124550OB-I00
References
Abi-Jaoude, Elia; Naylor, Karline Treurnicht, & Pignatiello, Antonio (2020). Smartphones, social media use and youth mental health. Canadian Medical Association Journal (CMAJ), 192(6), E136–E141. https://doi.org/10.1503/cmaj.190434
Alhassan, Muhammad Abubakar; Inuwa-Dutse, Isa; Bello, Shehu; & Pennington, Diane (2021). Self-harm: Detection and support on Twitter. En ECSM 2021: 8th European Conference on Social Media. https://doi.org/10.48550/arXiv.2104.00174
Alhassan, Muhammad Abubakar; & Pennington, Diane (2021). Investigating non-suicidal self-injury discussions on Twitter. En Proceedings of the International Conference on Social Media and Data Mining (ICSMDM). https://pure.strath.ac.uk/ws/portalfiles/portal/120117781/Alhassan_Pennington_ICSMDM_2021_Investigating_non_suicidal_self_injury_discussions_on_twitter.pdf
American Psychiatric Association (2022). Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision (DSM-5-TR). https://www.migna.ir/images/docs/files/000058/nf00058253-2.pdf
Anderson, Monica; Faverio, Michelle; & Gottfried, Jeffrey (2023). Teens, Social Media and Technology 2023. Pew Research Center. https://www.pewresearch.org/internet/2023/12/11/teens-social-media-and-technology-2023/
Asociación Española de Pediatría (AEP). (2022). Posicionamiento sobre el aumento de autolesiones y suicidio en niños y adolescentes. Comunicado de la Asociación Española de Pediatría (AEP). https://www.aeped.es/noticias/posicionamiento-sobre-aumento-autolesiones-y-suicidio-en-ninos-y-adolescentes
Asociación Española de Pediatría de Atención Primaria (AEPAP). (s.f.). https://www.aepap.org/
Brown, Rebeca; Fischer, Tin; Goldwich, David; Keller, Ferdinand; Young, Robert; & Plener, Paul. (2018). # cutting: non-suicidal self-injury (NSSI) on Instagram. Psychological medicine, 48(2), 337-346. https://doi.org/10.1017/S0033291717001751
Cipriano, Annarosa; Cella, Stefania; & Cotrufo, Paolo (2017). Nonsuicidal self-injury: A systematic review. Frontiers in Psychology, 8: 1946. https://doi.org/10.3389/fpsyg.2017.01946
Coady, Alanna; Lainchbury, Keeley; Godard, Rebecca; & Holtzman, Susan (2022). What Twitter can tell us about user experiences of crisis text lines: A qualitative study. Internet Interventions, 28, 100526. https://doi.org/10.1016/j.invent.2022.100526
Das Gollapalli, Sujatha: Zagatti, Guilherme Augusto; & Ng, See-Kiong. (2021). Suicide risk prediction by tracking self-harm aspects in tweets: NUS-IDS at the CLPsych 2021 shared task. En Proceedings of the Seventh Workshop on Computational Linguistics and Clinical Psychology: Improving Access (pp. 93–98). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.clpsych-1.10
Duarte Tánori, Karen Guadalupe; Vera Noriega, José Ángel; & Fregoso Borrego, Daniel (2021). Factores contextuales relacionados a las conductas de autolesión no suicidas: una revisión sistemática. Psicología y Salud, 31(1), 51–59. https://doi.org/10.25009/pys.v31i1.2675
Emparanza, J. I., & Urreta, I. (2005). Revisión sistemática y meta-análisis. Anales de pediatría continuada, 3(6), 1-9.
Faura‐Garcia, Juan; Orue, Izaskun; & Calvete, Esther (2021). Clinical assessment of non‐suicidal self‐injury: A systematic review of instruments. Clinical psychology & psychotherapy, 28(4), 739-765. https://doi.org/10.1002/cpp.2537
Faura‐Garcia, Juan; Orue, Izaskun; & Calvete, Esther (2022). Nonsuicidal Self-Injury Thoughts and Behavior in Adolescents: Validation of SITBI-NSSI. Psicothema, 34(4), 582-592. https://doi.org/10.7334/psicothema2022.13
Fernández, Rosa (2024, 23 de octubre). Número de usuarios mensuales activos (MAU) de X (Twitter) a nivel mundial desde 2010 hasta 2023. Statista. https://acortar.link/GhuHyD
Fundación ANAR (2023). Informe anual. Teléfono chat ANAR. https://www.anar.org/informe/informe-anual-telefono-chat-anar-2023/
Gámez-Guadix, Manuel; Almendros, Carmen; Rodríguez-Mondragón, Laura; & Mateos-Pérez, Estíbaliz (2020). Autolesiones online entre adolescentes españoles: análisis de la prevalencia y de las motivaciones. Revista de Psicología Clínica con Niños y Adolescentes, 7(1), 9-15. https://doi.org/10.21134/rpcna.2020.07.1.1
Guccini, Federica; & McKinley, Gerald. (2022). “How deep do I have to cut?”: Non-suicidal self-injury and imagined communities of practice on Tumblr. Social Science & Medicine, 296, 114760. https://doi.org/10.1016/j.socscimed.2022.114760
Gustina Sari, Genny; & Wirman, Welly (2022). Communication Patterns of Adolescent Self-Harm Suffering in Interpersonal Relationships. Journal Kajian Komunikasi, 10(29). https://doi.org/10.24198/jkk.v10i1.29384
Hilton, Charlotte. (2017). Unveiling self‐harm behaviour: what can social media site Twitter tell us about self‐harm? A qualitative exploration. Journal of Clinical Nursing, 26(11-12), 1690-1704. https://doi.org/10.1111/jocn.13575
Jashinsky, Jared; Burton, Scott H.; Hanson, Carl L.; West, Josh; Giraud-Carrier, Christophe; Barnes, Michael; & Argyle, Trenton (2014). Tracking suicide risk factors through Twitter in the US. Crisis, 35(1), 1-9. https://doi.org/10.1027/0227-5910/a000234
Khasawneh, Amro; Madathil, Kapil Chalil; Zinzow, Heidi; Wisniewski, Pamela; Ponathil, Amal; Hunter, Rogers; Agnisarman, Struthy; Roth, Rebecca; & Narasimhan, Meera (2021). An investigation of the portrayal of social media challenges on YouTube and Twitter. ACM Transactions on Social Computing, 4(1), 1-23. https://doi.org/10.1145/3444961
Klonsky, Eric David (2011). Non-suicidal self-injury in United States adults: prevalence, sociodemographics, topography and functions. Psychological Medicine, 41(9), 1981–1986. https://doi.org/10.1017/S0033291710002497
Kuric, Stribor; Sanmartín, Anna; Ballesteros, José Carlos; & Gómez Miguel, Alejandro (2023). Barómetro Juventud, Salud y Bienestar 2023. Centro Reina Sofía de Fad Juventud. https://doi.org/10.52810.5281/zenodo.88170910
Leiva, Oscar (2023, 9 de octubre). Autolesiones. Es importante resaltar que la mayoría de personas que se provocan autolesiones no quieren terminar con sus vidas. UNICEF. https://acortar.link/h3QjMb
Lerman, Kristina; Karnati, Aryan; Shuchan, Zhou; Chen, Siyi; Kumar, Sudesh; He, Zihao; Yau, Joanna; & Horn, Abigai (2023). Radicalized by Thinness: Using a Model of Radicalization to Understand Pro-Anorexia Communities on Twitter. Cornell University. https://arxiv.org/abs/2305.11316
López Vázquez, Paula; Armero Pedreira, Paula; Martínez-Sánchez, Lidia; García Cruz, Jose Manuel; Bonet de Luna, Concha; Notario Herrero, Félix; Sánchez Vázquez, Ana Rosa; Rodríguez Hernández, Pedro Javier; & Díez Suárez, Azucena. (2023). Autolesiones y conducta suicida en niños y adolescentes. Lo que la pandemia nos ha desvelado. Anales de pediatría, 98(3), 204-212.
https://doi.org/10.1016/j.anpedi.2022.11.006
Martínez-Pastor, Esther; Atauri-Mezquida, David; Nicolás-Ojeda, Miguel Ángel; & Blanco-Ruiz, Marian (2023). Visualización e interpretación de las interacciones en los mensajes de autolesiones no suicidas (ANS) en Twitter. Redes. Revista hispana para el análisis de redes sociales, 34(2), 238-253. https://doi.org/10.5565/rev/redes.996
Martínez-Pastor, Esther; & Gaete-Salgado, Catalina (2023). Young content creators around self-harm: identifying metalanguages on X (Twitter). Revista panamericana de comunicación, 5(2), 55-70. https://doi.org/10.21555/rpc.v5i2.2984
Martínez-Pastor, Esther; Nicolás-Ojeda, Miguel Ángel; Blanco-Ruiz, Marian; & Moraleda, Raquel (2024). Guía abre los ojos ante las autolesiones en redes sociales. https://burjcdigital.urjc.es/handle/10115/39148.
Ministerio de Sanidad (2021). Estrategia de Salud Mental del SNS, período 2022-2026. Ministerio de Sanidad. Secretaría General Técnica. Centro de publiaciones. https://acortar.link/2FPpOV
Newman, Nic; Fletcher, Richard; Eddy, Kirsten; Robertson T., Craig; & Kleis Nielsen, Rasmus. (2023). Digital News Report 2023. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2023-06/Digital_News_Report_2023.pdf
Page, Matthew J.; McKenzie, Joanne E.; Bossuyt, Patrick M.; Boutron, Isabelle, Hoffmann, Tammy C.; Mulrow, Cynthia D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporti.ng systematic reviews. BMJ, 372(71). https://doi.org/10.1136/bmj.n71
Pérez, Sandra; García-Alandete, Joaquín; Gallego, Blanca; & Marco, José H. (2021). Characteristics and Unidimensionality of Non-suicidal Self-injury in a Community Sample of Spanish Adolescents. Psicothema, 33(2), 251–258. https://doi.org/10.7334/psicothema2020.249
Perry, I’Sis; & Park, Albert. (2021). Exploring Suicidality on Social Media: Qualitative Analysis of Twitter. En IEEE 9th International Conference on Healthcare Informatics (ICHI) 362-371. IEEE Computer Society. https://doi.org/10.1109/ICHI52183.2021.00061
Sánchez-Meca, Julio. (2022). Revisiones sistemáticas y meta-análisis en Educación: un tutorial. RiiTE, Revista interuniversitaria de investigación en Tecnología Educativa, 13, 5-40. https://doi.org/10.6018/riite.545451
Samoili, Sofia; López Cobo, Monserrat; Delipetrev, Blagoj; Martinez-Plumed, Fernando; Gómez, Emilia; & De Prato, Giuditta (2021). AI Watch. Defining Artificial Intelligence 2.0. Towards an operational definition and taxonomy of AI for the AI landscape. Publications Office of the European Union, https://data.europa.eu/doi/10.2760/019901
Seko, Yukari; & Kikuchi, Minako (2022). Mentally Ill and cute as hell: Menhera girls and portrayals of self-injury in Japanese popular culture. Frontiers in Communication, 7: 737761. https://doi.org/10.3389/fcomm.2022.737761
Silva, Aline Conceição; Giacchero Vedana, Kelly Graziani; Pereira dos Santos, José Carlos; Cristina Pillon, Sandra, Arena Ventura, Carla Aparecida; & Inocenti Miasso, Adriana (2021). Analysis of nonsuicidal self-injury posts on Twitter: A quantitative and qualitative research. Research, Society and Development, 10(4). e40410413017. https://doi.org/10.33448/rsd-v10i4.13017
Simms, Drew (2020). Peer responses to trans youth tweeting about self-harm and suicidality. Creative nursing, 26(2), 135-142. https://doi.org/10.1891/CRNR-D-19-00089
Smith, Hayden; & Cipolli, William. (2022). The Instagram/Facebook ban on graphic self‐harm imagery: A sentiment analysis and topic modeling approach. Policy & Internet, 14(1), 170-185. https://doi.org/10.1002/poi3.272
Twitter (2023, 2 de febrero). Twitter's Sensitive Media Policy. https://changewatch.co.uk/twitter/sensitive-media-policy/2023-02-02/
UNICEF (2021a, 4 de marzo). Por lo menos 1 de cada 7 niños y jóvenes ha vivido confinado en el hogar durante gran parte del año, lo que supone un riesgo para su salud mental y su bienestar. [Comunicado de prensa] https://acortar.link/p5ddej
UNICEF (2021b). Estado Mundial de la infancia 2021: En mi mente: Promover, proteger y cuidar la salud mental de la infancia. [Informe principal] https://acortar.link/Q244Vj
Wang, Yilin; Tang, Jiliang; Li, Jundong; Boaxini, Li; Wan, Yali; Mellina, Clayton, O´Hare, Neil; & Chang, Yi. (2017). Understanding and discovering deliberate self-harm content in social media. In Proceedings of the 26th international conference on World Wide Web. 93-102. https://doi.org/10.1145/3038912.3052555
Yadav, Shweta; Chauhan, Jainish; Sain, Joy Prakash; Thirunarayan, Krishnaprasad; Sheth, Amit; & Schumm, Jeremiah (2020). Identifying depressive symptoms from tweets: Figurative language enabled multitask learning framework. Proceedings of the 28th International Conference on Computational Linguistics, 696–709. https://doi.org/10.18653/v1/2020.coling-main.61
Yazdavar, Amir Hossein; Al-Olimat, Hussein Saif; Ebrahimi, Monireh; Bajaj, Goonmeet; Banerjee, Tanvi; Thirunarayan, Krishnaprasad; Pathak, Jyotishman; & Sheth, Amit (2017). Semi-supervised approach to monitoring clinical depressive symptoms in social media. En Proceedings of the 2017 IEEE/ACM international conference on advances in social networks analysis and mining 2017, 1191-1198. https://doi.org/10.1145/3110025.3123028
Yepes-Nuñez, Juan José; Urrútia, Gerard; Romero-García, Marta; & Alonso-Fernández, Sergio (Trad.) (2021). Declaración PRISMA 2020: una guía actualizada para la publicación de revisiones sistemáticas. Revista Española de Cardiología, 74(9), 790-799. https://doi.org/10.1016/j.rec.2021.07.010
