The virtual disengagement hypothesis: A neurophysiological framework for reduced empathy on social media.

IF 2.5 3区 医学 Q2 BEHAVIORAL SCIENCES Cognitive Affective & Behavioral Neuroscience Pub Date : 2024-12-01 Epub Date: 2024-08-26 DOI:10.3758/s13415-024-01212-w
Maria Tavares, Ben Rein
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Abstract

Social media is a hotbed of interpersonal conflict and aggression. Platforms such as Twitter and Instagram are used by more than 62% of the global population, facilitating billions of user interactions every day. However, many of these exchanges involve hostile, insensitive, and antisocial behaviors. This raises the question: is empathy blunted on social media? Substantial evidence demonstrates that humans tend to behave more rudely in virtual settings, but considering the scarcity of physiological data collected under these circumstances, it remains unclear how the neural systems guiding social cognition and empathy may function differently in online interactions. We propose the "Virtual Disengagement Hypothesis," a conceptual framework to explain the prevalence of hostility online. It posits that interactions occurring on social media omit social cues that facilitate the assessment of a social partner's affective state, such as facial expressions and vocal tone, and thus fail to sufficiently recruit brain circuitry involved in empathy, such as the anterior cingulate cortex, insula, and prefrontal cortex. Additionally, interactions on social media occur asynchronously and in a "replayed" context, which may further limit recruitment of empathy systems. As a result of this diminished sensitivity to others' states, users may be predisposed to inconsiderate or outright antisocial behaviors. Given the massive and growing base of users on these platforms, we urge researchers to expand efforts that focus on neuroimaging in virtual settings with a particular emphasis on developing social media-relevant behavioral designs.

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虚拟脱离假说:社交媒体上共鸣减少的神经生理学框架。
社交媒体是人际冲突和攻击的温床。全球超过 62% 的人口使用 Twitter 和 Instagram 等平台,每天促进数十亿用户进行互动。然而,在这些交流中,很多都涉及敌意、麻木和反社会行为。这就提出了一个问题:在社交媒体上,同理心是否被削弱了?大量证据表明,人类在虚拟环境中的行为往往更加粗鲁,但考虑到在这种情况下收集到的生理数据很少,目前仍不清楚指导社会认知和移情的神经系统在网络互动中会如何发挥不同的功能。我们提出了 "虚拟脱离假说"(Virtual Disengagement Hypothesis)这一概念框架来解释网上普遍存在的敌意。该假说认为,社交媒体上的互动忽略了有助于评估社交伙伴情感状态的社交线索,如面部表情和声调,因此无法充分调动与移情有关的大脑回路,如前扣带回皮层、脑岛和前额叶皮层。此外,社交媒体上的互动是在 "重播 "的背景下异步进行的,这可能会进一步限制移情系统的招募。由于对他人状态的敏感度降低,用户可能容易做出不体谅他人或直接反社会的行为。鉴于这些平台上庞大且不断增长的用户群,我们敦促研究人员扩大在虚拟环境中的神经成像研究,尤其要重视开发与社交媒体相关的行为设计。
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来源期刊
CiteScore
5.00
自引率
3.40%
发文量
64
审稿时长
6-12 weeks
期刊介绍: Cognitive, Affective, & Behavioral Neuroscience (CABN) offers theoretical, review, and primary research articles on behavior and brain processes in humans. Coverage includes normal function as well as patients with injuries or processes that influence brain function: neurological disorders, including both healthy and disordered aging; and psychiatric disorders such as schizophrenia and depression. CABN is the leading vehicle for strongly psychologically motivated studies of brain–behavior relationships, through the presentation of papers that integrate psychological theory and the conduct and interpretation of the neuroscientific data. The range of topics includes perception, attention, memory, language, problem solving, reasoning, and decision-making; emotional processes, motivation, reward prediction, and affective states; and individual differences in relevant domains, including personality. Cognitive, Affective, & Behavioral Neuroscience is a publication of the Psychonomic Society.
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