Social Media Intervention for OnLinE Victimized Youth

本研究的目的是评估通过社交网络提供自动干预的可行性。 基于媒体的聊天机器人，以减少在初级保健中检测到的在线受害，并预防抑郁症和自杀 在有亚综合征抑郁症状的青少年中， 关注黑人和性与性别少数群体（SGM）青年的需求。在线受害（OV）（即， 在网络空间中造成伤害的诽谤性言论、符号、图像或行为）经常发生在社交媒体上。 媒体，并直接与抑郁症和自杀意念，这反过来又与近期自杀 风险OV在青春期达到高峰，在少数民族青少年中尤其普遍;超过一半的黑人 青少年经历一种基于种族的网上受害形式，涉及贬损或排斥， 经历过卵巢囊肿的比例是非SGM青少年的三倍。早期发现和干预OV具有潜力 改善青春期的健康状况，防止长期的负面影响。初级保健提供者（PCP） 认识到OV在患者中很常见，但实际障碍抑制了他们的反应能力。 聊天机器人是使用人工智能通过文本，语音， 或者视频，并且可以部署在社交媒体、SMS上，或者可以是基于网络的。回应OV的聊天机器人 在初级保健中发现的一种新的药物可以通过自动干预来扩展PCP帮助患有OV的青少年的能力。 我们建议开发和评估SMILEY，这是一种部署在社交媒体上的聊天机器人干预， 将减少OV频率和痛苦的强度（与抑郁严重程度和自杀相关的因素） 在初级抑郁症中发现的亚综合征抑郁症状的在线受害青少年中 在乎为了指导干预措施的制定，我们将采用《综合执行框架》， 研究（CFIR）进行定性访谈，以确定对 聊天机器人提供的在线受害干预。然后，我们将使用以人为本的设计方法， 开发、评估和验证SMILEY然后，我们将进行一项随机试验，比较SMILEY与 心理教育干预近期受害青少年亚综合征抑郁症。在一起， 这些目标将提供关于一种新型聊天机器人干预的数据，这种干预可能有望填补 为经历在线受害的青少年提供服务，并有意义地推进自杀预防， 脆弱的青年我们的目标是制定一项对少数群体青年来说可以接受和可行的干预措施， 特别是黑人和SGM青年，他们特别容易遭受网上受害， 解决这些青年健康差距的根源。

The objective of this research is to evaluate the feasibility of an automated intervention delivered via a social media-based chatbot to reduce online victimization detected in primary care and prevent depression and suicidal thoughts and behaviors (STBs) among adolescents with subsyndromal depressive symptoms, with special attention to the needs of Black and sexual and gender minority (SGM) youth. Online victimization (OV) (i.e., disparaging remarks, symbols, images, or behaviors that inflict harm in online spaces) frequently occurs on social media, and is directly linked to depression and suicidal ideation, which in turn associate with near-term suicide risk. OV peaks during adolescence and it is especially prevalent among minority adolescents; over half of Black youth experience a form of race-based online victimization involving derogation or exclusion, and SGM youth experience OV at three times the rate of non-SGM youth. Early detection and intervention on OV has potential to improve health during adolescence and prevent longer-term negative effects. Primary care providers (PCPs) recognize that OV is common among their patients, but practical barriers inhibit their capacity for response. Chatbots are software programs that use artificial intelligence to simulate conversation with a user via text, voice, or video, and can be deployed on social media, SMS, or can be web-based. A chatbot that responds to OV identified in primary care could extend PCPs’ capacity to help youth with OV through an automated intervention. We propose to develop and evaluate SMILEY, a chatbot-delivered intervention deployed on social media that will reduce OV frequency and intensity of distress (factors associated with depressive severity and suicidal ideation) among online-victimized adolescents with subsyndromal depressive symptoms identified in primary care. To inform intervention development, we will apply the Consolidated Framework for Implementation Research (CFIR) to the conduct of qualitative interviews to identify perceptions and preferences regarding a chatbot-delivered intervention for online victimization. We will then use human-centered design methods to develop, evaluate, and iterate SMILEY. We will then conduct a randomized trial comparing SMILEY vs. a brief psychoeducational intervention among recently victimized adolescents with subsyndromal depression. Together, these aims will provide data regarding a novel chatbot intervention that may hold promise to fill a critical gap in services for adolescents experiencing online victimization and meaningfully advance suicide prevention for vulnerable youth. We aim to develop an intervention that is acceptable and feasible for minoritized youth, specifically Black and SGM youth, who are especially vulnerable to experience online victimization, thus addressing a source of health disparities in these youth.