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Suicidal Ideation Detection: A Review of Machine Learning Methods and Applications [article]

Shaoxiong Ji and Shirui Pan and Xue Li and Erik Cambria and Guodong Long and Zi Huang
<span title="2020-04-26">2020</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Early detection and prevention of suicide attempts should be addressed to save people's life.  ...  Current suicidal ideation detection methods include clinical methods based on the interaction between social workers or experts and the targeted individuals and machine learning techniques with feature  ...  The eRisk dataset of Early Detection of Signs of Depression [103] is released by the first task of the 2018 workshop at the Conference and Labs of the Evaluation Forum (CLEF), which focuses on early  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12611v2">arXiv:1910.12611v2</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/63z4uvh5zrgyzb2bawtlbuo34m">fatcat:63z4uvh5zrgyzb2bawtlbuo34m</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200915110015/https://arxiv.org/pdf/1910.12611v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/1e/75/1e75631691d3a9be59d01853eb91d7583e9cdc03.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1910.12611v2" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Suicidal Ideation Detection on Social Media: A Review of Machine Learning Methods [article]

Asma Abdulsalam, Areej Alhothali
<span title="2022-01-25">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
This paper presents a comprehensive summary of current research efforts to detect suicidal ideation using machine learning algorithms on social media.  ...  Therefore, using social media to detect and identify suicidal ideation will help provide proper intervention that will eventually dissuade others from self-harming and committing suicide and prevent the  ...  Traditional suicide ideation detection approaches rely on the knowledge of psychologists and self-reported questionnaires [4] .  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.10515v1">arXiv:2201.10515v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/6ao5mbhksrc6jlprti2uocmvna">fatcat:6ao5mbhksrc6jlprti2uocmvna</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220127204904/https://arxiv.org/pdf/2201.10515v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c8/01/c8012b20353ac0016e6b59bfc12581982972f4f0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2201.10515v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Investigating Machine Learning & Natural Language Processing Techniques Applied for Predicting Depression Disorder from Online Support Forums: A Systematic Literature Review

Isuri Anuradha Nanomi Arachchige, Priyadharshany Sandanapitchai, Ruvan Weerasinghe
<span title="2021-10-27">2021</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dmr4kpn2yreovpdxpdiqtjcrnu" style="color: black;">Information</a> </i> &nbsp;
Our objective is to undertake a systematic review of the literature on NLP and ML approaches used for depression identification on Online Support Forums (OSF).  ...  Natural language processing (NLP) and Machine learning (ML) techniques are able to bridge the existing gaps in converting language to a machine-understandable format in order to facilitate this.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info12110444">doi:10.3390/info12110444</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/buft2xvmaba65dmghesdljd7xq">fatcat:buft2xvmaba65dmghesdljd7xq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220422084231/https://mdpi-res.com/d_attachment/information/information-12-00444/article_deploy/information-12-00444.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0a/e8/0ae89454aed9fcfb65ad2ae87bad96bf797b5e88.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/info12110444"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a>

An emotion and cognitive based analysis of mental health disorders from social media data

Ana-Sabina Uban, Berta Chulvi, Paolo Rosso
<span title="">2021</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/idqeix2ukbd5fbgjjdkjmaj3ka" style="color: black;">Future generations computer systems</a> </i> &nbsp;
In a previous study [45] on the early detection of self-harm tendencies, we propose using a hierarchical neural network composed of long short-term memory (LSTM) and CNN layers, trained on social media  ...  Recently, she has participated in the eRisk 2020 shared tasks on self-harm detection, and on the prediction of the level of depression of social media users. Berta Chulvi received a Ph.  ...  An emotion and cognitive based analysis of mental health disorders from social media data Highlights -Hierarchical Attention Networks can detect signs of depression, anorexia, self-harm from social media  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2021.05.032">doi:10.1016/j.future.2021.05.032</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/txcbxqgxm5behlomb7h56oksxu">fatcat:txcbxqgxm5behlomb7h56oksxu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210612165856/https://pdf.sciencedirectassets.com/271521/AIP/1-s2.0-S0167739X21001825/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjECEaCXVzLWVhc3QtMSJGMEQCIEx6uFuT8w8G1kcrI6sr4i9zCni%2F2823V7Om7lyabijuAiBw1gEUkY77rzYI6gpZlAxiiv84KAj%2F7nQiShrUpkEjSyqDBAja%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F8BEAQaDDA1OTAwMzU0Njg2NSIM7C6iCvhtpcq2rsBQKtcDTTNn1D1UlyA%2F8VkLS5ImCo2HJ2VUlKDUvztkTHIl3Xfb0QVUk0CVpIOqhJ4LkjBRfSCytOgzQgGQ4iFahsnQ%2FAL05U8Od4ftnD%2FPT%2BH6Tdowwp44w1VnpO8y5QTLxaf%2Fwi4G7cSwSG89FZfxVvXuAR1rUxHJ8%2BHNGPVwIpi%2FCLiGALsSaJhlWOKxoeLqSgCrTpsFwywVP9VZPntJXK4oiRo6yoe9C3zO4U3wHPa0CMR7MfPjVpPdyqs9PsLoTezBF0Vwm6LFj%2FSzJ%2FSNuhh%2F%2B6LfrkRaHDudX9qMCKDg8IQ1SP%2F649tzykeDPD2JTJXD0P1JNxMRlP9IbtXaSepdBWAXCxheQGBqurBmi%2BwyINV6ixdTKbjw1s8OSAQNInlI%2Fny0xkaaIVaaSjBnn7B44prUl9XjoWuVkFvJMISQ8s5ZAoYfFC3R%2BuBSbbdsiCXeRYczV0PQIQ4UrgXiP1LOi1vVaLVgazfZv0Ikt2ma9rKo8zxkMqaO9CjXnb2N31FZ3RLeYMoeMTQMX0ciAMTkOi5Aaj8Zm4ZN0zo6xFZtGWNU0F%2F%2F0TtN0g3FBxLYLxO6Er744NfSC71yvxYUC%2FO61ZGbL9DCqerwm%2BVbocfZ%2BQ3%2FSAQNYaqiMJbHk4YGOqYBVmnnt7w6PwTvVX%2FmYgo85mJYynk4wGr6h9lMAjXqF0ZBh6Bt1DbhqD5rQHTvBoJUncKcrZLtCYbhavxo8lVvYXiKXOa7EiGPDhMtbEhp5y4uMplhetrjYAz8WUYURyX%2Fist1qIS9U6EfeYxko9Wj5N%2ByDEGe2KYXJnpxNUYc6DTWrph9wPg75AhcAPAeKqiGXF%2B9k62Jt4t4LPxzLj4B1nbzaLgfwA%3D%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20210612T165851Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTYZKQE2LLD%2F20210612%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=fb1f1138f0be6bed5dd88552ee7b4fb4760acf568c20c16dbb3eca2d7495accf&amp;hash=5ccc7bdbf6944a587ea59b894e1c75426b565f46478e4543c5b3bc081ddee6fb&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S0167739X21001825&amp;tid=spdf-7e3ce8cd-5436-43e5-8c5e-c7af68705a59&amp;sid=b36824c81c14904cb49950383c396e579f56gxrqa&amp;type=client" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/27/53/2753c0bfaf1b8f0862ee5675c552d9dd09e42bdf.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.future.2021.05.032"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a>

Detection of Social Network Mental Disorder via Machine Learning

Sangeeta R.Kamite, Prof. V.B. Kamble
<span title="2019-03-22">2019</span> <i title="Zenodo"> Zenodo </i> &nbsp;
In this paper we use machine learning method for the process of obtaining big data from user generated content on social media sites in order to extract patterns, and act upon the information and argue  ...  We direct an element investigation, and furthermore apply interpersonal organization mental turmoil on huge scale datasets and examine the qualities of the informal community mental confusion types.  ...  Propose a hierarchical learning method for event detection and forecasting by first extracting the features from different data sources and then learning via geographical multi-level model.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.2602414">doi:10.5281/zenodo.2602414</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/eqyzy4y4xnag3helxryo7yoc3e">fatcat:eqyzy4y4xnag3helxryo7yoc3e</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201224003810/https://zenodo.org/record/2602415/files/%2812-16%29Detection%20of%20social%20network%20mental%20disorder.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e2/88/e28807e920335fd90ffe5faed9e5bee7001b0dec.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5281/zenodo.2602414"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> zenodo.org </button> </a>

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences

Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
<span title="">2018</span> <i title="Institute of Electrical and Electronics Engineers (IEEE)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/ht3yl6qfebhwrg7vrxkz4gxv3q" style="color: black;">IEEE Transactions on Knowledge and Data Engineering</a> </i> &nbsp;
This paper addresses the early detection of depression using machine learning models based on messages on a social platform.  ...  An ensemble of both approaches is shown to achieve state-of-the-art results in a current early detection task.  ...  Other interesting use cases of early detection applied in practice have been found in the detection of early signs of epidemics [51] or rumors [52] from social media messages.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2018.2885515">doi:10.1109/tkde.2018.2885515</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/j453v3rur5bnvgrvos5ogslqhy">fatcat:j453v3rur5bnvgrvos5ogslqhy</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190228035142/http://pdfs.semanticscholar.org/85a9/4228e5b119a52d14d6882921e58d7ff5a9e0.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/a9/85a94228e5b119a52d14d6882921e58d7ff5a9e0.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1109/tkde.2018.2885515"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> ieee.com </button> </a>

Graph-Hist: Graph Classification from Latent Feature Histograms with Application to Bot Detection

Thomas Magelinski, David Beskow, Kathleen M. Carley
<span title="2020-04-03">2020</span> <i title="Association for the Advancement of Artificial Intelligence (AAAI)"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/wtjcymhabjantmdtuptkk62mlq" style="color: black;">PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE</a> </i> &nbsp;
graph based on this multi-channel histogram.  ...  Neural networks are increasingly used for graph classification in a variety of contexts.  ...  Analysis of Social and Organization Systems (CASOS).  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i04.5956">doi:10.1609/aaai.v34i04.5956</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/vyiya6jn3fbn3ct2yldjqceie4">fatcat:vyiya6jn3fbn3ct2yldjqceie4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103174351/https://aaai.org/ojs/index.php/AAAI/article/download/5956/5812" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/f5/b3f5f2d6d2e31aebd83587ec20dec2f99e954203.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1609/aaai.v34i04.5956"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>

Early Identification of Depression Severity Levels on Reddit Using Ordinal Classification

Usman Naseem, Adam G. Dunn, Jinman Kim, Matloob Khushi
<span title="2022-04-25">2022</span> <i title="ACM"> Proceedings of the ACM Web Conference 2022 </i> &nbsp;
This paper aims to make early identification of depression severity levels on social media data.  ...  To accomplish this, we built a new dataset based on the inherent ordinal nature over depression severity levels using clinical depression standards on Reddit posts.  ...  detection and other self-harm text classification tasks. • CNN [22] : We used language features generated using LMs and fed to CNN based classifier used in [37, 57] with cross entropy objective function  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3485447.3512128">doi:10.1145/3485447.3512128</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/mjkhebutbvbzpbx2u7qkw76ixa">fatcat:mjkhebutbvbzpbx2u7qkw76ixa</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220503035532/https://dl.acm.org/doi/pdf/10.1145/3485447.3512128" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/54/96/54963e8c80e8e09833cbfe3ce0b5f09953abc8b3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3485447.3512128"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Detection of suicide-related posts in Twitter data streams

M. J. Vioules, B. Moulahi, J. Aze, S. Bringay
<span title="2018-01-01">2018</span> <i title="IBM"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/cr766v23pncdhc7hmikak4m7pi" style="color: black;">IBM Journal of Research and Development</a> </i> &nbsp;
The key challenge of suicide prevention is understanding and detecting the complex risk factors and warning signs that may precipitate the event.  ...  In this paper, we present a new approach that uses the social media platform Twitter to quantify suicide-warning signs for individuals and to detect posts containing suicide-related content.  ...  We believe that this large amount of data on people's feelings and behaviors can be used successfully for early detection of behavioral changes in at-risk individuals and may even help prevent deaths.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1147/jrd.2017.2768678">doi:10.1147/jrd.2017.2768678</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/x727xkafofbjdh2t4r4kuy43he">fatcat:x727xkafofbjdh2t4r4kuy43he</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20180721112239/https://hal-lirmm.ccsd.cnrs.fr/lirmm-01633317/file/Suicide%20Prevention%20via%20Social%20Media%20Networks_preprint.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/47/0f/470f25ca9006e03a6770abbebca09ae923df0a7c.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1147/jrd.2017.2768678"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a>

Knowledge-aware Assessment of Severity of Suicide Risk for Early Intervention

Manas Gaur, Amanuel Alambo, Joy Prakash Sain, Ugur Kursuncu, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Amit Sheth, Randy Welton, Jyotishman Pathak
<span title="">2019</span> <i title="ACM Press"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/s4hirppq3jalbopssw22crbwwa" style="color: black;">The World Wide Web Conference on - WWW &#39;19</a> </i> &nbsp;
Our interdisciplinary study concerns the use of Reddit as an unobtrusive data source for gleaning information about suicidal tendencies and other related mental health conditions afflicting depressed users  ...  We also use language modeling, medical entity recognition and normalization and negation detection to create a dataset of 2181 redditors that have discussed or implied suicidal ideation, behavior, or attempt  ...  ACKNOWLEDGEMENT We acknowledge partial support from the National Science Foundation (NSF) award CNS-1513721: "Context-Aware Harassment Detection on Social Media", National Institutes of Health (NIH) award  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3308558.3313698">doi:10.1145/3308558.3313698</a> <a target="_blank" rel="external noopener" href="https://dblp.org/rec/conf/www/GaurASKTKSWP19.html">dblp:conf/www/GaurASKTKSWP19</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gzptoqtwk5gfzliztvzufipis4">fatcat:gzptoqtwk5gfzliztvzufipis4</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200507040433/https://scholarcommons.sc.edu/cgi/viewcontent.cgi?article=1002&amp;amp;context=aii_fac_pub" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/b3/23/b32335f42145ad9fc69b57adc47f04e4ac9ee9e2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1145/3308558.3313698"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> acm.org </button> </a>

Characterizing Abhorrent, Misinformative, and Mistargeted Content on YouTube [article]

Kostantinos Papadamou
<span title="2021-05-20">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
In this thesis, we shed some light on the degree of problematic content on YouTube and the role of the recommendation algorithm in the dissemination of such content.  ...  Following a data-driven quantitative approach, we analyze thousands of videos on YouTube, to shed light on: 1) the risks of YouTube media consumption by young children; 2) the role of the recommendation  ...  Others focus on spam detection in Twitter using machine learning.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.09819v1">arXiv:2105.09819v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/k2mdclt4orgunnlwb6hnnrka4i">fatcat:k2mdclt4orgunnlwb6hnnrka4i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210527085441/https://arxiv.org/pdf/2105.09819v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/5e/5b5e5e44999afff3cca6a1ae6325351ea59cabcb.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2105.09819v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Recipes for Safety in Open-domain Chatbots [article]

Jing Xu, Da Ju, Margaret Li, Y-Lan Boureau, Jason Weston, Emily Dinan
<span title="2021-08-04">2021</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Models trained on large unlabeled corpora of human interactions will learn patterns and mimic behaviors therein, which include offensive or otherwise toxic behavior and unwanted biases.  ...  introduce a new human-and-model-in-the-loop framework for both training safer models and for evaluating them, as well as a novel method to distill safety considerations inside generative models without the use  ...  , and then fine-tune on the safety classification task of interest, performing early stopping using the F1 score of the "unsafe" class on the validation set.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.07079v3">arXiv:2010.07079v3</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/qvbchivryrcdrj2evt6awl37fm">fatcat:qvbchivryrcdrj2evt6awl37fm</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20210808004146/https://arxiv.org/pdf/2010.07079v3.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/4f/a2/4fa24cc5b17e8ff1eb5a01fd37a9d267a57ac563.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2010.07079v3" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Towards Understanding the Information Ecosystem Through the Lens of Multiple Web Communities [article]

Savvas Zannettou
<span title="2019-11-24">2019</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
Then, we follow a data-driven cross-platform quantitative approach to analyze billions of posts from Twitter, Reddit, 4chan's /pol/, and Gab, to shed light on: 1) how news and memes travel from one Web  ...  Finally, when studying state-sponsored actors, we find that they were particularly influential in spreading news on popular communities like Twitter and Reddit.  ...  They propose the use of a machine learning-based framework in order to detect the early stages of the spreading of political false information on Twitter.  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.10517v1">arXiv:1911.10517v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/piuwv7zv7zghlof5tqhuhnukla">fatcat:piuwv7zv7zghlof5tqhuhnukla</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20200930082622/https://arxiv.org/pdf/1911.10517v1.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/c3/88/c388d4266075f7a1cf4b72d7c6967938b643848e.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/1911.10517v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

Governing online goods: Maturity and formalization in Minecraft, Reddit, and World of Warcraft communities [article]

Seth Frey, Qiankun Zhong, Beril Bulat, William D. Weisman, Caitlyn Liu, Stephen Fujimoto, Hannah M. Wang, Charles M. Schweik
<span title="2022-02-02">2022</span> <i > arXiv </i> &nbsp; <span class="release-stage" >pre-print</span>
These findings suggest that designers and founders of online communities converge on styles of governance practice that are correlated with successful self-governance.  ...  scholar Elinor Ostrom to 80,000 communities across 3 platforms: the sandbox game Minecraft, the MMO game World of Warcraft, and Reddit.  ...  ACKNOWLEDGEMENTS The authors wish to thank members of the institutionalgrammar.org, communitydata.science, and metagov.org research communities; Kabir Sahni and Jingyuan Liang for help on the WoW data;  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.01317v1">arXiv:2202.01317v1</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wwed5tzta5eblf776pma3ldbxi">fatcat:wwed5tzta5eblf776pma3ldbxi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220204084721/https://arxiv.org/ftp/arxiv/papers/2202/2202.01317.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/19/97/1997d20294acab3bba07aabd6ac0e2372783d4e5.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener" href="https://arxiv.org/abs/2202.01317v1" title="arxiv.org access"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> arxiv.org </button> </a>

A Deep Learning Ensemble to Classify Anxiety, Depression, and their Comorbidity from Texts of Social Networks

Vanessa Souza, Jeferson Nobre, Karin Becker
<span title="2021-10-02">2021</span> <i title="Sociedade Brasileira de Computacao - SB"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/er2lc36yujbpxfm4l4snzitm2y" style="color: black;">Journal of Information and Data Management</a> </i> &nbsp;
The use of social networks to expose personal difficulties has enabled works on the automatic identification of specific mental conditions, particularly depression.  ...  In this paper, we explore deep learning techniques to develop a stacking ensemble to automatically identify depression, anxiety, and comorbidity, using data extracted from Reddit.  ...  DATA This work uses the Self-reported Mental Health Diagnoses (SMHD) dataset [Cohan et al. 2018] , which contains public Reddit posts from users with one or multiple mental health conditions along with  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5753/jidm.2021.1901">doi:10.5753/jidm.2021.1901</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/kkl5j67h3nbdtixb6v6yjoanue">fatcat:kkl5j67h3nbdtixb6v6yjoanue</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20211012233444/https://sol.sbc.org.br/journals/index.php/jidm/article/download/1901/1825" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/7c/21/7c21e9e5d69ea7f409b8cbb9f9df17e94781d9e1.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.5753/jidm.2021.1901"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> Publisher / doi.org </button> </a>
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