Depressed Individuals Use Negative Self-Focused Language When Recalling Recent Interactions with Close Romantic Partners but Not Family or

Nalabandian, Taleen; Ireland, Mark E.

doi:10.18653/v1/w19-3008

Cited by 8 publications

(3 citation statements)

References 59 publications

(78 reference statements)

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“…work, money, religion, death), etc. It is used to detect cues of depression Nalabandian and Ireland, 2019;Eichstaedt et al, 2018), neuroticism (Resnik et al, 2013), to explore the language of suicide poets (Stirman and Pennebaker, 2001), etc.…”

Section: Related Workmentioning

confidence: 99%

A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media

Bucur

Podină

Dinu

2021

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing M

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In this work, we provide an extensive part-ofspeech analysis of the discourse of social media users with depression. Research in psychology revealed that depressed users tend to be self-focused, more preoccupied with themselves and ruminate more about their lives and emotions. Our work aims to make use of largescale datasets and computational methods for a quantitative exploration of discourse. We use the publicly available depression dataset from the Early Risk Prediction on the Internet Workshop (eRisk) 2018 and extract partof-speech features and several indices based on them. Our results reveal statistically significant differences between the depressed and non-depressed individuals confirming findings from the existing psychology literature. Our work provides insights regarding the way in which depressed individuals are expressing themselves on social media platforms, allowing for better-informed computational models to help monitor and prevent mental illnesses.

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Section: Related Workmentioning

confidence: 99%

A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media

Bucur

Podină

Dinu

2021

Proceedings of the Conference Recent Advances in Natural Language Processing - Deep Learning for Natural Language Processing M

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“…Instead of merely swapping antonyms for negative words or inserting unfounded positive language into a sentence, these strategies work to more fundamentally reconstruct the author's fixed, global, and ultimately harmful selfnarratives, which are known in the literature as cognitive distortions (Burns, 1981;Abramson et al, 2002;Walton and Brady, 2020). Cognitive distortions include many exaggerated or irrational self-focused thoughts (Nalabandian and Ireland, 2019), such as dichotomous "all-or-nothing" thinking (Oshio, 2012), over-generalization (Muran and Motta, 1993), and catastrophizing (Sullivan et al, 2001. We can reconstruct these ideas using strategies from positive psychology (Harris et al, 2007).…”

Section: Positive Reframing Frameworkmentioning

confidence: 99%

Inducing Positive Perspectives with Text Reframing

Ziems¹,

Li²,

Zhang³

et al. 2022

Preprint

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Sentiment transfer is one popular example of a text style transfer task, where the goal is to reverse the sentiment polarity of a text. With a sentiment reversal comes also a reversal in meaning. We introduce a different but related task called positive reframing in which we neutralize a negative point of view and generate a more positive perspective for the author without contradicting the original meaning. Our insistence on meaning preservation makes positive reframing a challenging and semantically rich task. To facilitate rapid progress, we introduce a large-scale benchmark, POSITIVE PSY-CHOLOGY FRAMES, with 8,349 sentence pairs and 12,755 structured annotations to explain positive reframing in terms of six theoreticallymotivated reframing strategies. Then we evaluate a set of state-of-the-art text style transfer models, and conclude by discussing key challenges and directions for future work. To download the data, see https://github. com/GT-SALT/positive-frames

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“…Negative verbal and nonverbal communicative patterns of depressed individuals can adversely affect the nature of social interactions and strain social networks [5,6]. Social impairments such as inhibited communication with family members and friends and the use of negative self-focused verbalizations have long been associated with negative psychological states, including depression [7]. In interpersonal relationships, depression-related patterns of rumination usually precede a subsequent problematic interpersonal communication episode, exacerbating levels of depression [7].…”

Section: Introductionmentioning

confidence: 99%

Assessment and Disruption of Ruminative Episodes to Enhance Mobile Cognitive Behavioral Therapy Just-in-Time Adaptive Interventions in Clinical Depression: Pilot Randomized Controlled Trial

Wang¹,

Miller²

2023

JMIR Form Res

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Background A just-in-time adaptive intervention (JITAI) is “designed to address the dynamically changing needs of individuals via the provision of the type or amount of support needed, at the right time when needed.” If and how rumination-focused cognitive behavioral therapy (RFCBT), the gold standard, blocks emotional cascades underlying rumination is unclear. Furthermore, cognitive behavioral therapy has been successfully used as a mobile variant, but RFCBT has not been adapted for a mobile variant (mobile RFCBT [MRFCBT]) or for a JITAI variant. Objective This study aimed to pilot-test a fully automated JITAI leveraging RFCBT and ways to identify and block cascading depressive rumination. Methods Patients in therapy for clinical depression were recruited for a randomized controlled trial (RCT). After consenting to be part of the RCT, they were randomly assigned to either of the 2 mobile versions of the RFCBT conditions personalized to the individual’s rumination timing patterns (JITAI-MRFCBT) or a no-treatment control condition through a double-blind procedure. Although the initial design was to have a 3-armed trial with 2 JITAI conditions (a JITAI and a narrative JITAI condition), we later opted to collapse those 2 conditions into 1 JITAI condition because of the low number of participants. All participants were recruited and participated through their smartphones, receiving 5 SMS text message reminders on each of the 35 days to self-report their rumination-related symptoms (eg, rumination episodes and duration). In the JITAI-MRFCBT condition, they also received treatment materials. The first 7 days provided a rumination baseline, and the last 7 days provided a postintervention rumination value. In total, 42% (25/59) of volunteers were eligible and provided their phone numbers, 20% (5/25) of whom never replied to the SMS text message reminding them to start the RCT. A total of 90% (18/20) of volunteers completed it (ie, finishing, as prespecified, 80% of the questionnaires and training tasks) and, therefore, were included in the analysis. Results Using independent 2-tailed t tests with bootstrapping, results showed that participants in the JITAI-MRFCBT condition, compared with those in the control condition, reported a greater reduction in counts of rumination episodes (mean −25.28, SD 14.50 vs mean 1.44, SD 4.12, P<.001) and greater reduced average time (minutes) spent in rumination (mean −21.53, SD 17.6 vs mean 1.47, SD 1.5; P=.04). Results also suggest that, compared with those in the control group, those in treatment reduced ruminative carryover from one episode to the next. Conclusions The results suggest that JITAI-MRFCBT may reduce negative rumination by providing RFCBT just in time following rumination, thereby blocking the next rumination episode using the same trigger. This study supports a subsequent, full-scale JITAI and the importance of leveraging mobile smartphone technology with MRFCBT to curb depressive symptoms. Trial Registration ClinicalTrials.gov NCT04554706; https://clinicaltrials.gov/ct2/show/NCT04554706

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Depressed Individuals Use Negative Self-Focused Language When Recalling Recent Interactions with Close Romantic Partners but Not Family or

Cited by 8 publications

References 59 publications

A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media

A Psychologically Informed Part-of-Speech Analysis of Depression in Social Media

Inducing Positive Perspectives with Text Reframing

Assessment and Disruption of Ruminative Episodes to Enhance Mobile Cognitive Behavioral Therapy Just-in-Time Adaptive Interventions in Clinical Depression: Pilot Randomized Controlled Trial

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