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"paper_id": "2022", |
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"date_generated": "2023-01-19T12:31:20.046181Z" |
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}, |
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"title": "Nonsuicidal Self-Injury and Substance Use Disorders: A Shared Language of Addiction", |
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"authors": [ |
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{ |
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"first": "Salvatore", |
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"middle": [], |
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"last": "Giorgi", |
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"institution": "University of Pennsylvania", |
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"email": "[email protected]" |
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{ |
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"first": "Mckenzie", |
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"middle": [], |
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"last": "Himelein-Wachowiak", |
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"institution": "University of Pennsylvania", |
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"location": {} |
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"email": "" |
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}, |
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{ |
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"first": "Daniel", |
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"middle": [], |
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"last": "Habib", |
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"institution": "University of Pennsylvania", |
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"first": "Lyle", |
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"H" |
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], |
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{ |
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"first": "Brenda", |
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"middle": [], |
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"last": "Curtis", |
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"abstract": "Nonsuicidal self-injury (NSSI), or the deliberate injuring of one's body without intending to die, has been shown to exhibit many similarities to substance use disorders (SUDs), including population-level characteristics, impulsivity traits, and comorbidity with other mental disorders. Research has further shown that people who self-injure adopt language common in SUD recovery communities (e.g., \"clean\", \"relapse\", \"addiction,\" and celebratory language about sobriety milestones). In this study, we investigate the shared language of NSSI and SUD by comparing discussions on public Reddit forums related to self-injury and drug addiction. To this end, we build a set of LDA topics across both NSSI and SUD Reddit users and show that shared language across the two domains includes SUD recovery language in addition to other themes common to support forums (e.g., requests for help and gratitude). Next, we examine Reddit-wide posting activity and note that users posting in r/selfharm also post in many mental healthrelated subreddits, while users of drug addiction related subreddits do not, despite high comorbidity between NSSI and SUDs. These results show that while people who self-injure may contextualize their disorder as an addiction, their posting habits demonstrate comorbidities with other mental disorders more so than their counterparts in recovery from SUDs. These observations have clinical implications for people who self-injure and seek support by sharing their experiences online.", |
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"text": "Nonsuicidal self-injury (NSSI), or the deliberate injuring of one's body without intending to die, has been shown to exhibit many similarities to substance use disorders (SUDs), including population-level characteristics, impulsivity traits, and comorbidity with other mental disorders. Research has further shown that people who self-injure adopt language common in SUD recovery communities (e.g., \"clean\", \"relapse\", \"addiction,\" and celebratory language about sobriety milestones). In this study, we investigate the shared language of NSSI and SUD by comparing discussions on public Reddit forums related to self-injury and drug addiction. To this end, we build a set of LDA topics across both NSSI and SUD Reddit users and show that shared language across the two domains includes SUD recovery language in addition to other themes common to support forums (e.g., requests for help and gratitude). Next, we examine Reddit-wide posting activity and note that users posting in r/selfharm also post in many mental healthrelated subreddits, while users of drug addiction related subreddits do not, despite high comorbidity between NSSI and SUDs. These results show that while people who self-injure may contextualize their disorder as an addiction, their posting habits demonstrate comorbidities with other mental disorders more so than their counterparts in recovery from SUDs. These observations have clinical implications for people who self-injure and seek support by sharing their experiences online.", |
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"section": "Abstract", |
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"text": "Nonsuicidal self-injury (NSSI), or the intentional injuring of one's body without aiming to die for reasons outside of social norms, causes significant morbidity (Nock, 2010) . Lifetime prevalence of NSSI is estimated to range from 5-6% among adults to 17-18% among adolescents (Swannell et al., 2014) while the prevalence of NSSI among adolescents with psychiatric disorders is thought to be much higher (Nock and Prinstein, 2004; Glenn and Klonsky, 2013) .", |
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"text": "(Swannell et al., 2014)", |
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"text": "Qualitative, quantitative, mixed-methods, and psychometric studies have pointed towards the addictive features of NSSI and shared characteristics between NSSI and substance use disorders (SUDs; Brown and Kimball, 2013; Davis and Lewis, 2019) . Populations who self-injure may resemble populations with SUDs in personality (MacLaren and Best, 2010) or impulsivity traits (Dir et al., 2013) . NSSI and SUD are often comorbid with anxiety, depressive, and psychotic disorders (Guvendeger Doksat et al., 2017) and with each other, with one study reporting that approximately 60% of people who self-injure met criteria for a SUD (Nock et al., 2006) . Both substance use and NSSI are used to avoid and/or cope with feelings of psychological distress (Chawla and Ostafin, 2007) , especially among adolescents (Peterson et al., 2008) . Although there is debate as to whether or not NSSI is an addiction in a clinical sense or experienced as intensely as SUD (Victor et al., 2012) , addiction models of NSSI have been proposed (Faye, 1995; Buser and Buser, 2013; Blasco-Fontecilla et al., 2016) . There is also evidence that those who endorse more addictive features of self-injury harm themselves more frequently and more severely (Martin et al., 2013) , have higher levels of internalized anger (Nixon et al., 2002) , and are at increased risk for accidentally harming to a greater extend than intended (Buser et al., 2017) and attempting suicide (Csorba et al., 2009) . Some have urged clinicians to consider addictive features of NSSI when treating people who self-injure (Blasco-Fontecilla et al., 2016) , making the addictive aspects of NSSI a valuable research target. Previous work has also identified the adoption of language used in SUD recovery circles Alcoholics Anonymous (AA) and Narcotics Anonymous (NA) in NSSI communities. This \"addiction language\" (i.e., phrases such as \"relapse\", \"recovery\" and celebration of time without self-injury) has been found on NSSI message boards (Whitlock et al., 2006) , Facebook groups (Niwa and Mandrusiak, 2012) , and LiveJournal (Davis and Lewis, 2019) .", |
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"text": "This study builds on the work of Himelein-Wachowiak et al. 2022, who investigated the use of \"addiction language\" and experiences of addiction in the r/selfharm subreddit. This was done through a text-based annotation process where experts in addiction and recovery adapted the Diagnostic and Statistical Manual of Mental Disorders Fifth Edition (DSM-5) criteria for SUD to NSSI as a method for measuring the symptoms and severity of addiction to NSSI for Reddit users. Results showed that over three-quarters of the sample met the criteria for addiction and 86% used \"addiction language\".This work also builds on a large body of research using Reddit as a tool for mental health applications (De Choudhury and De, 2014), which includes depression (Pirina and \u00c7\u00f6ltekin, 2018) , anxiety (Shen and Rudzicz, 2017) , suicide (Zirikly et al., 2019) , substance use (Lu et al., 2019) , schizophrenia (Zomick et al., 2019) , and DSM-5 evaluations (Gaur et al., 2018) .", |
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"text": "The purpose of this study is to further evaluate experiences of addiction by examining shared \"addiction language\" between NSSI and SUD communities using automated methods. We begin by directly comparing NSSI and SUD subreddits through a set of LDA topics estimated over a corpus of Reddit comments and examine how themes of addiction and recovery are used across both communities. While previous studies have identified \"addiction language\" in NSSI communities, to our knowledge, none have directly compared NSSI and SUD communities. We also identify where users of these subreddits are posting across Reddit in order to identify common communities. We end by discussing the clinical implications of our findings.", |
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"text": "Self-injury We looked at posts from the r/selfharm subreddit from the Pushshift Reddit Data set (Baumgartner et al., 2020) . We focused on r/selfharm based on the fact that it had the highest number of posts and users and the most diverse discussion around NSSI. See Supplemental Materials for descriptions of other self-injury related subreddits as well as temporal trends in post histories.", |
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"text": "Substance Use In order to compare the r/selfharm users to those posting in SUD recovery communities, we gather the posting activity from all users who have posted in the following subreddits: r/addiction, r/alcoholism, r/opiatesrecovery, r/leaves, r/stopdrinking, and r/redditorsinrecovery. These were manually selected due to high post volume and focus on recovery (vs. drug use itself).", |
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"text": "Our data set consisted of both comments and submissions (i.e., the first post in a Reddit thread) across 2019 in order to match the temporal span of . Across both data sets, we removed any accounts with the word \"bot\" in the user handle, after manually inspecting the account to confirm that the account is indeed a bot, as well as deleted posts, deleted accounts, and moderators. We also removed any redditor who posted in both r/selfharm and one or more SUD subreddits, in order to remove the possibility that common users will drive shared language. To identify redditors who are active in their respective communities, we remove any redditor with less than 10 comments, resulting in 2,470 r/selfharm who together posted 77,414 comments. We then identified a matched sample of 2,470 SUD redditors (posting 77,424 comments), approximately matched on both comment and submission counts.", |
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"text": "Task 1: Shared Language To examine shared language across NSSI and SUD subreddits, we estimate a set of Content Specific LDA topics (Zamani et al., 2020) . Content Specific LDA (CSLDA) is a method for estimating LDA topics across a thematically concise corpus and has been previously used to model conversations around excessive drinking, diabetes, and Black Lives Matter tweets Griffis et al., 2020; . CSLDA contains a preprocessing pipeline that identifies words related to the theme in question (i.e., NSSI and SUD) by comparing this data to a background corpus of general language (i.e., data from r/AskReddit). This removes language that is specific to Reddit as opposed to being NSSI or SUD related. We create CSLDA topics across a combined corpus of comments from NSSI and SUD subreddits. See Supplemental Materials for full details of the CSLDA pipeline.", |
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"text": "Griffis et al., 2020;", |
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"text": "We use the Mallet Java software wrapper within the DLATK Python package (McCallum, 2002; Schwartz et al., 2017 Syed and Spruit, 2017) . This is calculated for each topic and then averaged across all topics. Topic uniqueness (TU), a measure of topic diversity, is inversely proportional to the number of times a set of L keywords is repeated across a set of K topics (Nan et al., 2019) . Thus, a topic set with high TU means that the representative keywords are rarely repeated across topics. While past research has used a value of L = 10 (Nan et al., 2019), we set L = 30 to be more conservative (with a large L, the probability of a given word appearing in more than one topic will increase, thus decreasing TU). TU ranges between 1 and 1/K, and therefore we normalize TU to be between 0 and 1, since we are evaluating topic sets of sizes K.", |
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"text": "Syed and Spruit, 2017)", |
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"text": "Qualitative evaluation consisted of manually inspecting topics for three criteria: (1) breadth of themes, (2) minimal thematic overlap, and (3) a single topic contains a single theme. Note that (2) and (3) are similar to TU and coherence.", |
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"text": "Task 2: Posting Activity Here, we look at all posts (i.e., submissions and comments) across the whole of Reddit in 2019 from our disjoint samples of NSSI and SUD redditors. For the NSSI redditors, we gather 1,019,796 of their posts in subreddits other than r/selfharm. For the SUD redditors, we gather 927,733 posts to subreddits other than the 6 addiction subreddits used to collect the sample. We then reported the most frequently visited subreddits for both the NSSI and SUD samples and calculated the percentage of users posting in each.", |
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"text": "Task 1: Shared Language In Table 1 , we evaluate the CSLDA topics. Here we see Topic Uniqueness (TU) decrease as the number of topics grows. This is to be expected since as the number of topics grows one can expect words to be shared across a larger number of topics. TU also increases with \u03b1 within a fixed topic set (i.e., column-wise). Coherence shows no clear pattern across \u03b1 or topic set size. Through the qualitative evaluation, K = 50 topics with \u03b1 = 5 were chosen as the most interpretable. Since TU is high across the K = 50 topic sets and coherence is reasonable with \u03b1 = 5 (i.e., neither the highest nor the lowest value across all topic sets), we proceed with this topic set. Figure 1 shows the average user-level topic usage across all 50 topics, ordered by the difference between the NSSI (green) and SUD (blue) groups. In total, we see 9 out of 50 topics include addiction or recovery-related keywords within the top 10 highest weighted words in the topic. We do not include topics that contain both \"clean\" and \"cut\" since \"clean\" most likely does not refer to \"staying clean\" in the recovery sense. Additionally, we see that the most similar topic is addiction-related (\"addiction\", \"addicted\"), as well as the 6th (\"recovery\", \"relapsed\", \"clean\"). Notably, the remaining addiction topics are the least similar (i.e., towards the Figure 1 : Differences in average user-level topic frequency. The top 5 weighted words from each topic are visualized with red topics containing an addiction keyword (e.g., \"sober\" and \"relapse\") in the top 10 weighted words.", |
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"text": "right side of the figure). These later topics contain either substance use keywords (and are, thus, used more often by SUD users) or contain words like \"withdrawal\" which was one of the least prevalent DSM-5 symptoms (6% of users) found in .", |
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"text": "There are also a number of topics that do not contain recovery keywords but seem to be related to addiction and recovery such as mentions of starting/stopping (\"started\", \"stop\") and getting easier (\"gets\", \"easier\"). While not addiction or recovery related, we do see shared language of gratitude (\"thanks\" and \"thank\"), support (\"better\", \"easier\", \"gets\" as well as \"support\", \"advice\"), emotions (\"thoughts\", \"feelings\", \"emotions\"), and coping. Table 2 shows the 20 subreddits in which the highest percentage of NSSI and SUD redditors are also posting. Not surprisingly, we see that NSSI redditors are posting in other NSSI related subreddits: r/MadeOfStyrofoam and r/SelfHarmScars. On the other hand, SUD redditors are not posting in other substance-related subreddits outside of the six used to collect data. We also note that there are a number of mental health related subreddits in which NSSI redditors are posting, which is in line with common NSSI comorbidities: r/depression, r/SuicideWatch, and r/Anxiety. We do not see similar posting activity in mental health subreddits among SUD redditors despite high comorbidity between SUD and both depression and anxiety (Conway et al., 2006) .", |
|
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"end": 1197, |
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"text": "(Conway et al., 2006)", |
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"ref_id": "BIBREF7" |
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} |
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], |
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"ref_spans": [ |
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"start": 450, |
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"end": 457, |
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"text": "Table 2", |
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"ref_id": "TABREF3" |
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} |
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], |
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"eq_spans": [], |
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"section": "Results", |
|
"sec_num": "4" |
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}, |
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{ |
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"text": "In this work, we directly compared language across large online communities dedicated to discussing NSSI and SUD recovery. We showed that there is indeed a shared language of addiction between these two communities, evidenced by equivalent usage of topics related to addiction (\"addiction\", \"addicted\") and recovery (\"recovery\", \"relapsed\", \"clean\"). To our knowledge, this is the first study using automated methods to quantify addiction language in NSSI communities, as well as the first to directly compare language between online NSSI and SUD recovery forums. We also examined Reddit-wide posting activity and showed that, while NSSI redditors posted in a number of mental health related subreddits, SUD redditors did not even though both NSSI and SUD are comorbid with many of the same mental health disorders.", |
|
"cite_spans": [], |
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"eq_spans": [], |
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"section": "Conclusion", |
|
"sec_num": "5" |
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}, |
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{ |
|
"text": "One limitation of our study is the high comorbidity between NSSI and SUD: 60% of adolescents engaging in NSSI meeting criteria for SUDs (Nock et al., 2006) . Thus, the shared addiction language may be a result of NSSI redditors also having and discussing SUDs. We attempted to control for this by excluding redditors who are posting in both NSSI and SUD subreddits. Additionally, noted that only 2% of NSSI redditors explicitly mentioned having a SUD.", |
|
"cite_spans": [ |
|
{ |
|
"start": 136, |
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"end": 155, |
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"text": "(Nock et al., 2006)", |
|
"ref_id": "BIBREF29" |
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} |
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], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Conclusion", |
|
"sec_num": "5" |
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}, |
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{ |
|
"text": "Despite this limitation, our results suggest that the adoption of addiction and recovery language in NSSI communities may provide psychological benefit to the users and help them cope with selfinjury. posits that alignment with SUD may buffer against self-stigma and encourage adoption of common SUD recovery strategies. In a similar study, Pritchard et al. (2021) suggest that people who self-injure use addiction messages to convey the difficulty in stopping, as well as to caution those considering NSSI as a coping strategy. Our results also suggest that NSSI redditors seek support in similar communities for other mental health concerns, perhaps with the goals of broadening their support network or seeking specific advice for a separate mental disorder. The lack of mental health cross posting among SUD redditors may imply a need for more discussion of cormorbid mental disorders among SUD recovery communities as well as greater engagement with people dealing with other mental disorders. Regardless, NSSI and SUD recovery communities share similar language of support (\"yourself\", \"take\", \"care\", \"love\") and encouragement (\"better\", \"easier\", \"gets\"), illustrating the broad psychological benefits of sharing intimate experiences with empathetic others online, regardless of the particular mental health concern.", |
|
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"section": "Conclusion", |
|
"sec_num": "5" |
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}, |
|
{ |
|
"text": "6 Ethical Considerations NSSI communities and their members tend to refer to NSSI as \"self harm.\" In this paper, we use \"self-injury\" or the acronym NSSI as it is more specific to the behavior in question (\"self harm\" could also include suicide attempts) as well as the term most frequently found in recent literature. However, papers we cite may use the terms \"deliberate self harm\" (DSH) or \"self-mutilation.\" For a review and discussion of the most appropriate language to use when referring to people who self-injure, see (Hasking et al., 2021) .", |
|
"cite_spans": [ |
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"start": 526, |
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"end": 548, |
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"text": "(Hasking et al., 2021)", |
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"ref_id": "BIBREF19" |
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} |
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], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Conclusion", |
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"sec_num": "5" |
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}, |
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{ |
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"text": "There are a number of ethical considerations when using sensitive data. Since Reddit data is publicly available, this study was deemed non-human subjects research and exempt from approval of an Institutional Review Board. Despite this official classification, the data used throughout is indeed human generated and reflects the lived experiences, intimate feelings, and personal struggles of the authors. Related, there are issues regarding informed consent when using public data. Online communities such as r/selfharm are intimate and personal spaces, where consensual sharing happens between community members and not with researchers who collect the data. For a full discussion of related issues, we recommend the work of Chancellor et al. (2019) , which identifies conflicting representations of humans in \"human centered machine learning.\" There are also issues of privacy; while Reddit is anonymous, there are risks of revealing sensitive information or the identities of the accounts used in the study (Proferes et al., 2021) . As such, we only report aggregate information throughout the manuscript, and we have chosen to not publicly release any of the data used in this study. Finally, there are some egregious use cases with this data. For example, given the cross posting between NSSI and mental health forums, one could imagine ads for anti-depressants being targeted to the redditors in this study.", |
|
"cite_spans": [ |
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{ |
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"start": 726, |
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"end": 750, |
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"text": "Chancellor et al. (2019)", |
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"ref_id": "BIBREF5" |
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}, |
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{ |
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"start": 1010, |
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"end": 1033, |
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"text": "(Proferes et al., 2021)", |
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"ref_id": "BIBREF34" |
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} |
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], |
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"ref_spans": [], |
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"eq_spans": [], |
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"section": "Conclusion", |
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"sec_num": "5" |
|
}, |
|
{ |
|
"text": "One must also consider researchers' well-being when working with data of this type. Spending time with sensitive and potentially triggering data can be emotionally challenging for researchers. As such, researchers should also consent to working with this type of data and continue to consent throughout the life of the project. To help with these issues, our research group held one-on-one and group sessions to discuss triggering content and mental and emotional fatigue experienced while working on this and similar projects.", |
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"section": "Conclusion", |
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"sec_num": "5" |
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} |
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], |
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"back_matter": [ |
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{ |
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"text": "This research was supported by the Intramural Research Program of the NIH, NIDA. We would like to thank Elise Bragard, Amy Kwarteng, Destiny Schriefer, Chase Smitterberg, and Kenna Yadeta for their help in the annotation process, as well as Garrick Sherman, Amanda Devoto, and the CLPsych reviewers for their thoughtful feedback.", |
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"text": "Coh. TU Coh. TU Coh. TU Coh. 1 0.98 0.46 0.85 0.38 0.72 0.33 0.61 0.28 3 0.99 0.31 0.90 0.37 0.72 0.32 0.65 0.34 5 0.99 0.41 0.90 0.36 0.78 0.37 0.66 0.36", |
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"content": "<table><tr><td>25 Topics</td><td>50 Topics</td><td>75 Topics</td><td>100 Topics</td></tr><tr><td>alpha TU</td><td/><td/><td/></tr><tr><td/><td/><td/><td>). All default settings are used,</td></tr></table>" |
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}, |
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"text": "Topic quality as measured through Topic Uniqueness (TU) and Coherence (Coh.).", |
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"type_str": "table", |
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"content": "<table><tr><td>and we evaluate a range of \u03b1 \u2208 {1, 3, 5}, a prior on the number of topics per document, and topic set</td></tr><tr><td>sizes K \u2208 {25, 50, 75, 100}. All topics are quan-titatively and qualitatively evaluated. Quantitative</td></tr><tr><td>evaluation consists of two metrics: coherence and</td></tr><tr><td>topic uniqueness. Coherence measures semantic</td></tr><tr><td>similarity between the words in the topic using</td></tr><tr><td>Normalized Pointwise Mutual Information (NPMI;</td></tr></table>" |
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}, |
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"html": null, |
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"text": "", |
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"content": "<table><tr><td>Average Topic Usage</td><td>0.002 0.003 0.004 0.005</td><td>NSSI SUD</td></tr><tr><td/><td>0.001</td><td/></tr></table>" |
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} |
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} |
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} |
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} |