Reducing the rate of personal insults in social media with bystander bots | Paper Citation Record

Observation 766e8dc9-6c36-41cc-849c-0346f35c803c · outbound

This paper cites Social exclusion causes self-defeating behavior.

Reducing the rate of personal insults in social media with bystander bots Social exclusion causes self-defeating behavior

Reference 1

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This paper cites Automatic identification of personal insults on social news sites.

Reducing the rate of personal insults in social media with bystander bots Automatic identification of personal insults on social news sites

Reference 2

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Reducing the rate of personal insults in social media with bystander bots BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 3

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Observation 1db06289-dc94-40aa-82e0-79337febeaa9 · outbound

This paper cites Characterizations of online harassment: Comparing policies across social media platforms.

Reducing the rate of personal insults in social media with bystander bots Characterizations of online harassment: Comparing policies across social media platforms

Reference 4

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Observation 101cfb5a-abd9-48fc-8745-8f5ef25c3a4d · outbound

This paper cites Automated Hate Speech Detection and the Problem of Offensive Language.

Reducing the rate of personal insults in social media with bystander bots Automated Hate Speech Detection and the Problem of Offensive Language

Reference 5

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This paper cites Democracy online: Civility, politeness, and the democratic potential of online political discussion groups.

Reducing the rate of personal insults in social media with bystander bots Democracy online: Civility, politeness, and the democratic potential of online political discussion groups

Reference 6

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This paper cites Anyone can become a troll: Causes of trolling behavior in online discussions.

Reducing the rate of personal insults in social media with bystander bots Anyone can become a troll: Causes of trolling behavior in online discussions

Reference 7

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This paper cites Tweetment effects on the tweeted: Experimentally reducing racist harassment.

Reducing the rate of personal insults in social media with bystander bots Tweetment effects on the tweeted: Experimentally reducing racist harassment

Reference 8

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This paper cites Beat them or ban them: the characteristics and social functions of anger and contempt.

Reducing the rate of personal insults in social media with bystander bots Beat them or ban them: the characteristics and social functions of anger and contempt

Reference 9

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Observation 3a71452a-278a-4034-adce-87a32ac73fa2 · outbound

This paper cites Behind the Screen: Content Moderation in the Shadows of Social Media.

Reducing the rate of personal insults in social media with bystander bots Behind the Screen: Content Moderation in the Shadows of Social Media

Reference 10

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Observation 585abbcf-9461-4921-9435-02d7152e78aa · outbound

This paper cites Abusive Language Detection in Online User Content.

Reducing the rate of personal insults in social media with bystander bots Abusive Language Detection in Online User Content

Reference 11

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Observation 8a979d0e-ae66-4a11-9f79-3316dee95cf2 · outbound

This paper cites A Survey on Automatic Detection of Hate Speech in Text.

Reducing the rate of personal insults in social media with bystander bots A Survey on Automatic Detection of Hate Speech in Text

Reference 12

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Observation 5fd05b17-847a-4674-b094-0930f9d28558 · outbound

This paper cites Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19.

Reducing the rate of personal insults in social media with bystander bots Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19

Reference 13

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Observation bb63c645-772d-45dd-94f5-2bbf162614bf · outbound

This paper cites Nearly Eight-in-Ten Reddit Users Get News on the Site.

Reducing the rate of personal insults in social media with bystander bots Nearly Eight-in-Ten Reddit Users Get News on the Site

Reference 14

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Observation 1cd8fc33-a5cd-4979-97ac-28d3eac2b1a4 · outbound

This paper cites Comparing BERT Against Traditional Machine Learning Models in Text Classification.

Reducing the rate of personal insults in social media with bystander bots Comparing BERT Against Traditional Machine Learning Models in Text Classification

Reference 15

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Observation a7ae7ac9-9d57-47de-8b85-d8d85ea76a30 · outbound

This paper cites To Act or Not to Act, That Is the Question? Barriers and Facilitators of Bystander Intervention.

Reducing the rate of personal insults in social media with bystander bots To Act or Not to Act, That Is the Question? Barriers and Facilitators of Bystander Intervention

Reference 16

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This paper cites Bystander Intervention in Cyberbullying and Online Harassment: The Role of Expectancy Violations.

Reducing the rate of personal insults in social media with bystander bots Bystander Intervention in Cyberbullying and Online Harassment: The Role of Expectancy Violations

Reference 17

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Observation 52ad75ec-6a65-4d02-b91b-fb6a83dbb721 · outbound

This paper cites Evaluation of a Bystander-Focused Interpersonal Violence Prevention Program with High School Students.

Reducing the rate of personal insults in social media with bystander bots Evaluation of a Bystander-Focused Interpersonal Violence Prevention Program with High School Students

Reference 18

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Observation 2767a17d-275f-412d-b7fe-804393c78ade · outbound

This paper cites The bystander-effect: a meta-analytic review on bystander intervention in dangerous and non-dangerous emergencies.

Reducing the rate of personal insults in social media with bystander bots The bystander-effect: a meta-analytic review on bystander intervention in dangerous and non-dangerous emergencies

Reference 19

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Observation 6696ce45-e4e5-416b-8198-2219abd542a2 · outbound

This paper cites Convolutional Neural Networks for Toxic Comment Classification.

Reducing the rate of personal insults in social media with bystander bots Convolutional Neural Networks for Toxic Comment Classification

Reference 20

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Observation 890d2836-52bb-42ed-9d91-83927b5b2955 · outbound

This paper cites The effects of machine-powered platform governance: An empirical study of content moderation.

Reducing the rate of personal insults in social media with bystander bots The effects of machine-powered platform governance: An empirical study of content moderation

Reference 21

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Observation 27a438c9-4cce-4d5c-af4b-db10ba6a3387 · outbound

This paper cites There Is Virtually No Excuse: The Frequency and Predictors of College Students' Bystander Intervention Behaviors Directed at Online Victimization.

Reducing the rate of personal insults in social media with bystander bots There Is Virtually No Excuse: The Frequency and Predictors of College Students' Bystander Intervention Behaviors Directed at Online Victimization

Reference 22

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Observation 5807f965-8b94-43b5-ba12-3d3007dfc80d · outbound

This paper cites Did you suspect the post would be removed?.

Reducing the rate of personal insults in social media with bystander bots Did you suspect the post would be removed?

Reference 23

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Observation eed33089-e851-4471-ab63-21ea13369b5a · outbound

This paper cites Moderator Chatbot for Deliberative Discussion: Effects of Discussion Structure and Discussant Facilitation.

Reducing the rate of personal insults in social media with bystander bots Moderator Chatbot for Deliberative Discussion: Effects of Discussion Structure and Discussant Facilitation

Reference 24

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Observation 99ff26c3-dbf0-441c-977b-3fac76c44982 · outbound

This paper cites Does Danger Level Affect Bystander Intervention in Real-Life Conflicts? Evidence From CCTV Footage.

Reducing the rate of personal insults in social media with bystander bots Does Danger Level Affect Bystander Intervention in Real-Life Conflicts? Evidence From CCTV Footage

Reference 25

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Observation 971082c5-da01-4b5a-87d6-40cf6be0c31b · outbound

This paper cites The Impact of Toxic Language on the Health of Reddit Communities.

Reducing the rate of personal insults in social media with bystander bots The Impact of Toxic Language on the Health of Reddit Communities

Reference 26

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Observation 6cabad07-6fec-4d0f-8331-112024be74a9 · outbound

This paper cites Vulnerable community identification using hate speech detection on social media.

Reducing the rate of personal insults in social media with bystander bots Vulnerable community identification using hate speech detection on social media

Reference 27

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Observation 18908cbc-c495-4601-a86c-2f5f84a7fe79 · outbound

This paper cites A Systematic Review of Bystander Interventions for the Prevention of Sexual Violence.

Reducing the rate of personal insults in social media with bystander bots A Systematic Review of Bystander Interventions for the Prevention of Sexual Violence

Reference 28

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Observation 466760a2-be9f-41df-ac89-9882b4ae728b · outbound

This paper cites Detecting Community Sensitive Norm Violations in Online Conversations.

Reducing the rate of personal insults in social media with bystander bots Detecting Community Sensitive Norm Violations in Online Conversations

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:39:39.001791Z

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Observation 0965fe2f-abc9-460c-b997-70892846df17 · outbound

This paper cites A Meta-Analysis of School-Based Bullying Prevention Programs' Effects on Bystander Intervention Behavior.

Reducing the rate of personal insults in social media with bystander bots A Meta-Analysis of School-Based Bullying Prevention Programs' Effects on Bystander Intervention Behavior

Reference 30

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Observation 52bc8037-0299-4627-9756-0f1c0bde12f6 · outbound

This paper cites Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model.

Reducing the rate of personal insults in social media with bystander bots Impact of SMOTE on Imbalanced Text Features for Toxic Comments Classification Using RVVC Model

Reference 31

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Observation ea331c5b-f5a1-4156-85a8-8ac066dc6b78 · outbound

This paper cites Quantifying social organization and political polarization in online platforms.

Reducing the rate of personal insults in social media with bystander bots Quantifying social organization and political polarization in online platforms

Reference 32

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This paper cites The Effect of Moderator Bots on Abusive Language Use.

Reducing the rate of personal insults in social media with bystander bots The Effect of Moderator Bots on Abusive Language Use

Reference 33

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Reducing the rate of personal insults in social media with bystander bots Critical Perspectives: A Benchmark Revealing Pitfalls in P erspective API

Reference 34

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Reducing the rate of personal insults in social media with bystander bots Challenges and frontiers in abusive content detection

Reference 35

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Reducing the rate of personal insults in social media with bystander bots Toolkit for Civil Society and Moderation Inventory

Reference 36

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Reducing the rate of personal insults in social media with bystander bots ``HOT'' ChatGPT : The Promise of ChatGPT in Detecting and Discriminating Hateful, Offensive, and Toxic Comments on Social Media

Reference 37

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This paper cites Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection.

Reducing the rate of personal insults in social media with bystander bots Empirical Analysis of Multi-Task Learning for Reducing Identity Bias in Toxic Comment Detection

Reference 38

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This paper cites Measuring and Mitigating Unintended Bias in Text Classification.

Reducing the rate of personal insults in social media with bystander bots Measuring and Mitigating Unintended Bias in Text Classification

Reference 39

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Reducing the rate of personal insults in social media with bystander bots Mea Culpa: A Sociology of Apology and Reconciliation

Reference 40

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Reducing the rate of personal insults in social media with bystander bots The managerial grid: key orientations for achieving production through people

Reference 41

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Reducing the rate of personal insults in social media with bystander bots Social exclusion decreases prosocial behavior

Reference 42

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Reducing the rate of personal insults in social media with bystander bots If you can't join them, beat them: effects of social exclusion on aggressive behavior

Reference 43

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Reducing the rate of personal insults in social media with bystander bots Social exclusion impairs self-regulation

Reference 44

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Reducing the rate of personal insults in social media with bystander bots Detection of toxicity in social media based on Natural Language Processing methods

Reference 45

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Reducing the rate of personal insults in social media with bystander bots A lexicon-based approach for hate speech detection

Reference 46

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Reducing the rate of personal insults in social media with bystander bots Inducing a lexicon of abusive words -- a feature-based approach

Reference 47

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Reducing the rate of personal insults in social media with bystander bots An Italian lexical resource for incivility detection in online discourses

Reference 48

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Reducing the rate of personal insults in social media with bystander bots Hate Hurts: Exploring the Impact of Online Hate on LGBTQ+ Young People

Reference 49

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Reducing the rate of personal insults in social media with bystander bots Censored, suspended, shadowbanned: User interpretations of content moderation on social media platforms

Reference 50

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Reducing the rate of personal insults in social media with bystander bots Bystander intervention in emergencies: diffusion of responsibility

Reference 51

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Observation 0e9fdd52-6065-4aa2-9561-e4321f327638 · outbound

This paper cites Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models.

Reducing the rate of personal insults in social media with bystander bots Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models

Reference 52

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This paper cites A little goes a long way: Improving toxic language classification despite data scarcity.

Reducing the rate of personal insults in social media with bystander bots A little goes a long way: Improving toxic language classification despite data scarcity

Reference 53

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Observation a60abe5a-f8ab-46b6-92c0-8bfb1d7cb41c · outbound

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Reducing the rate of personal insults in social media with bystander bots Who Uses Bots? A Statistical Analysis of Bot Usage in Moderation Teams

Reference 54

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Reducing the rate of personal insults in social media with bystander bots Intergroup emotions: explaining offensive action tendencies in an intergroup context

Reference 55

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Reducing the rate of personal insults in social media with bystander bots What predicts divorce? the relationship between marital processes and marital outcomes

Reference 56

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This paper cites Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?.

Reducing the rate of personal insults in social media with bystander bots Remove, Reduce, Inform: What Actions do People Want Social Media Platforms to Take on Potentially Misleading Content?

Reference 57

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Observation c2f3e7ab-0caf-4bd2-a079-6d8dfa42c020 · outbound

This paper cites How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets?.

Reducing the rate of personal insults in social media with bystander bots How well do hate speech, toxicity, abusive and offensive language classification models generalize across datasets?

Reference 58

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Observation 9cb10607-e538-4650-86ff-e3c070a9e1cb · outbound

This paper cites an unresolved cited work.

Reducing the rate of personal insults in social media with bystander bots Unresolved cited work

Reference 59

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Observation 6696824a-94e4-4a67-9833-288960065651 · outbound

This paper cites Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation.

Reducing the rate of personal insults in social media with bystander bots Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation

Reference 60

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:39:38.998885Z

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Observation 1f8006d2-d23d-4f96-9868-f072f778f73a · outbound

This paper cites The Psychology of Insults.

Reducing the rate of personal insults in social media with bystander bots The Psychology of Insults

Reference 61

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Observation d642c8ed-1c87-4526-b67b-360a5ed5ff68 · outbound

This paper cites Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection.

Reducing the rate of personal insults in social media with bystander bots Annotators with Attitudes: How Annotator Beliefs And Identities Bias Toxic Language Detection

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 1365435b-228f-4a00-b33d-6a46a2cf323a · outbound

This paper cites Cyberbullying bystander intervention: The number of offenders and retweeting predict likelihood of helping a cyberbullying victim.

Reducing the rate of personal insults in social media with bystander bots Cyberbullying bystander intervention: The number of offenders and retweeting predict likelihood of helping a cyberbullying victim

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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This paper cites The moral emotions: a social-functionalist account of anger, disgust, and contempt.

Reducing the rate of personal insults in social media with bystander bots The moral emotions: a social-functionalist account of anger, disgust, and contempt

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 6212f150-10df-4d15-911a-d07353371723 · outbound

This paper cites White supremacy culture.

Reducing the rate of personal insults in social media with bystander bots White supremacy culture

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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This paper cites Getting better and staying better: assessing civility, incivility, distress, and job attitudes one year after a civility intervention.

Reducing the rate of personal insults in social media with bystander bots Getting better and staying better: assessing civility, incivility, distress, and job attitudes one year after a civility intervention

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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This paper cites Civility, Respect, Engagement in the Workforce ( CREW) : Nationwide Organization Development Intervention at Veterans Health Administration.

Reducing the rate of personal insults in social media with bystander bots Civility, Respect, Engagement in the Workforce ( CREW) : Nationwide Organization Development Intervention at Veterans Health Administration

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 845787b9-79c1-46c5-9c62-47a7495f5622 · outbound

This paper cites Managing conflict in today's organizations.

Reducing the rate of personal insults in social media with bystander bots Managing conflict in today's organizations

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 3ac2ad45-a2ad-43dd-be52-bebe6e2c662b · outbound

This paper cites Accountability and empathy by design: Encouraging bystander intervention to cyberbullying on social media.

Reducing the rate of personal insults in social media with bystander bots Accountability and empathy by design: Encouraging bystander intervention to cyberbullying on social media

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation bc27e392-9866-4e03-b461-47ca9e828dd2 · outbound

This paper cites Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets.

Reducing the rate of personal insults in social media with bystander bots Toxic, Hateful, Offensive or Abusive? What Are We Really Classifying? An Empirical Analysis of Hate Speech Datasets

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 89d0b108-a620-499d-be3c-db005950e51f · outbound

This paper cites What predicts change in marital interaction over time? A study of alternative models.

Reducing the rate of personal insults in social media with bystander bots What predicts change in marital interaction over time? A study of alternative models

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation 6f159ffa-3f5a-426b-93fc-4f29b04e27d6 · outbound

This paper cites The unresponsive bystander: Why doesn't he help?.

Reducing the rate of personal insults in social media with bystander bots The unresponsive bystander: Why doesn't he help?

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation df4bbd1a-95cc-4ab6-8282-a393be294a57 · outbound

This paper cites Styles of Bystander Intervention in Cyberbullying Incidents.

Reducing the rate of personal insults in social media with bystander bots Styles of Bystander Intervention in Cyberbullying Incidents

Reference 73

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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Observation a01de817-cbbd-4479-8298-2a371b6fa0fa · outbound

This paper cites Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods.

Reducing the rate of personal insults in social media with bystander bots Some Statistical Models for Limited Dependent Variables with Application to the Demand for Durable Goods

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-26T13:11:21.683127Z

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