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在线互助论坛中如何获得社会支持:结构化社会资本与礼貌原则的影响
How to Obtain Social Support in Online Support Forums? The Effects of Structural Social Capital and Politeness Principle
在线互助论坛塑造了一种全新的信息交流与意义交换的公共空间。在此嵌入式的虚拟社区内,用户共享集体身份,为某种共同目标所驱动,并在与他人的动态互动中累积社会资本,建构自身的话语策略。基于从网页抓取的在线抑郁症互助论坛公开数据,本研究建立了论坛内用户的回帖关系网络,力图从社会资本的结构性与建构性两个层面共同讨论用户在此场域内的交流互动。一方面,用户间讨论话题或集中于疾病信息的传递,或侧重于情感层面的沟通,而两种讨论的议题特性与用户可摄取的资源间存在关联:同参与信息讨论的用户相比,参与情感讨论的用户拥有更多的黏连社会资本与桥接社会资本,同时前者的回复分布较之后者更为偏态,资源更为集中。另一方面,用户建构自身求助话语的方式展现着其认知与心理过程,而这与他们所获得的社会支持间存在着显著关联:发帖中的非正式语言使用正向预测收到回复的数量;发帖中体现认知加工程度的语言使用与第一人称复数代词的使用正向预测收到回复的平均长度,而非正式词语的使用和情感正向性负向预测收到回复的平均长度。本研究为在线互助小组或论坛用户寻求支持和帮助提供了实际指导,也为我国推动“互联网+医疗”的发展目标提供参考。
Online support forum creates a public sphere for exchanging information and meaning. In these embedded virtual communities, users share collective identities and are driven by the same goals. They accumulate social capital through dynamic interactions with each other, and, in turn, construct their own discourses for seeking social support. Based on web-scraped data from an online depression forum, this study generated the network of users’ replies, aiming to investigate their communication and interactions in this social field through the lens of both structural and constructed social capital. On the one hand, users’ discussions either focus on information about depression, or expressions of emotions and feelings, the topics of which were found to be associated with their social capital: Compared with users in the information-based discussion, users in emotion-based discussion possessed more bonding and bridging social capital; the reply distribution in the information-based discussion was more skewed than that in the emotion-based discussion. On the other hand, the language people used when seeking support represented their psychological and cognitive process, and was found to be associated with the volume and quality of received social support: The use of informal language in the posts was positively associated with the number of users’ received replies; the use of first-person plural pronouns and words reflecting cognitive processing positively predicted the average length of received replies, while the use of informal words and the posts’ emotional positivity were negatively associated with the average length of received replies. This study not only offers practical guidance for users seeking support in online support groups or forums, but also promotes the development of China’s “Internet plus Health Care” campaign.
在线互助论坛 / 支持性传播 / 基于信息的讨论 / 基于情感的讨论 / 礼貌原则
online support forums / supportive communication / information-based discussion / emotion-based discussion / politeness principle
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Cyberspace has become a common social environment in which people interact and operate in many ways. The purpose of the present study was to investigate the occurrence and reciprocity of self-disclosure, two subjects that are extensively studied in face-to-face interactions but only to a limited degree in virtual, computer-mediated, textual communication. Data was based on 240 first messages in a thread, sampled in equal numbers from six Internet forums (three discussion and three support groups), and written in equal numbers by each gender, and 240 first responses to them (a total of 480 forum messages). Trained, expert judges blindly rated each message on the degree to which it disclosed personal information, thoughts, and feelings. Linguistic parameters (total number of words and number of first-voice words) were also used as dependent variables. Results showed the following: (a) self-disclosure in support forums was much higher than in discussion forums, in terms of both total number and type of disclosure; (b) messages in support forums were longer and included more first-voice words than in discussion forums; (c) there were no gender differences interacting with level of self-disclosure; (d) reciprocity of self-disclosure was evident, yielding positive correlations between the measures of self-disclosure in messages and responses to them; (e) some differences appeared in level of reciprocity of self-disclosure between male and female participants, with female respondents tending to be more reciprocal than male respondents. The implications of these results are discussed in light of growing social interactions online, and possible applications are suggested.
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Although there is an increasing amount of research on support-seeking in cyberspace, very little is known about what features of online support-seeking can enhance the quality of received support. The present experiment examined how support-seekers’ use of cues to personal identity in their user profile can influence the level of person-centeredness and politeness in others’ responses to their support-seeking postings. Results showed that support-seekers whose user profile contained a portrait picture and a first name ID tended to receive higher person-centered and more polite support messages than support-seekers whose user profile did not contain those cues to personal identity.
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We investigated first-person plural pronoun use (we-talk) by health-compromised smokers and their spouses as a possible implicit marker of adaptive, problem-resolving communal processes. Twenty couples in which one or both partners used tobacco despite one of them having a heart or lung problem participated in up to 10 sessions of a smoking cessation intervention designed to promote communal coping, where partners define smoking as "our" problem, rather than "your" problem or "my" problem, and take collaborative action to solve it. We used the Linguistic Inquiry Word Count automatic text analysis program to tabulate first-person pronoun use by both partners from transcripts of a pretreatment marital interaction task and later intervention sessions. Results indicated that pretreatment we-talk by the patient's spouse predicted whether the patient remained abstinent 12 months after quitting, and residualized change in we-talk by both partners during the course of intervention (controlling for baseline levels) predicted cessation outcomes as well. These findings add to evidence regarding the prognostic significance of partner we-talk for patient health and provide preliminary documentation of communal coping as a possible mechanism of change in couple-focused intervention.© FPI, Inc.
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Expressed emotion (EE) has been linked to negative outcomes for a variety of psychiatric illnesses. Despite development of effective interventions to reduce EE, relatively little is known about EE's antecedents or maintaining factors. The present study uses a novel methodology (measurement of pronouns used by relatives during the Camberwell Family Interview [CFI] or a problem-solving interaction with the patient) to explore possible cognitive correlates of EE. Participants were 98 outpatients with obsessive-compulsive disorder or panic disorder with agoraphobia and their primary relative. Results showed that relatives' pronoun use was stable across situations. Relatives' hostility and criticism, as measured by objective coding of relatives' behavior during the CFI and interactions, respectively, were related to relatives' decreased we-focus and increased me-focus in the 2 situations. In contrast to expectations, relatives' emotional overinvolvement was related to their decreased we-focus during CFIs and interactions. Results support the value of using pronouns as a means to explore important aspects of relationship functioning.
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We are in the midst of a technological revolution whereby, for the first time, researchers can link daily word use to a broad array of real-world behaviors. This article reviews several computerized text analysis methods and describes how Linguistic Inquiry and Word Count (LIWC) was created and validated. LIWC is a transparent text analysis program that counts words in psychologically meaningful categories. Empirical results using LIWC demonstrate its ability to detect meaning in a wide variety of experimental settings, including to show attentional focus, emotionality, social relationships, thinking styles, and individual differences.
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\r\nThere have been growing concerns regarding the potential impact of social media on democracy and public debate. While some theorists have claimed that ICTs and social media would bring about a new independent public sphere and increase exposure to political divergence, others have warned that they would lead to polarization through the formation of echo chambers. The issue of social media echo chambers is both crucial and widely debated. This article attempts to provide a comprehensive account of the scientific literature on this issue, shedding light on the different approaches, their similarities, differences, benefits, and drawbacks, and offering a consolidated and critical perspective that can hopefully support future research in this area. Concretely, it presents the results of a systematic review of 55 studies investigating the existence of echo chambers on social media, providing a first classification of the literature and identifying patterns across the studies’ foci, methods and findings. We found that conceptual and methodological choices influence the results of research on this issue. Most importantly, articles that found clear evidence of echo chambers on social media were all based on digital trace data. In contrast, those that found no evidence were all based on self-reported data. Future studies should take into account the possible biases of the different approaches and the significant potential of combining self-reported data with digital trace data.\r\n
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1. 基于信息的讨论包含以下子论坛:Abilify(aripiprazole),Celexa(citalopram)/Lexapro(escitalopram),Cymbalta (duloxetine),Effexor(venlafaxine)/Pristiq(desvenlafaxine),Latuda(lurasidone),Paxil/Seroxat(paroxetine),Prozac(fluoxetine),Remeron(mirtazapine),Viibryd(vilazodone),Wellbutrin(bupropion),Zoloft/Lustral(sertraline),Other Depression and Anxiety Medications,Medications:Posting, asking and sharing。基于情感的讨论包含以下子论坛:The Relationship and Depression Forum,Depression and Families,The Depression and Religion Forum,Gay,Lesbian,Bi-sexual and Transgender Issues,Bullying:Emotional and Physical Abuse,Mental illness and stigma:Coping with the ridicule,Therapy。
2. 接近中心性:接近中心性被定义为网络距离(farness)的倒数,网络中x点的接近中心性等于x到其他所有点y的距离的和的倒数,可以用以下公式表示(Bavelas,
3. 中介中心性:假设g是行动者s到行动者t通过i的最短举例的路径数,n是行动者s到行动者t的最短距离的总数,那么中介中心度可以用以下公式表示(Newman,
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