mlsanityData to 7 Oct 2026

'I Just Want to Hack Myself to Not Get Distracted': Evaluating Design Interventions for Self-Control on Facebook

arXiv 2001.04180 ↗First posted 13 Jan 2020cs.HCcited by 17

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Abstract (arXiv)

Beyond being the world's largest social network, Facebook is for many also one of its greatest sources of digital distraction. For students, problematic use has been associated with negative effects on academic achievement and general wellbeing. To understand what strategies could help users regain control, we investigated how simple interventions to the Facebook UI affect behaviour and perceived control. We assigned 58 university students to one of three interventions: goal reminders, removed newsfeed, or white background (control). We logged use for 6 weeks, applied interventions in the middle weeks, and administered fortnightly surveys. Both goal reminders and removed newsfeed helped participants stay on task and avoid distraction. However, goal reminders were often annoying, and removing the newsfeed made some fear missing out on information. Our findings point to future interventions such as controls for adjusting types and amount of available information, and flexible blocking which matches individual definitions of 'distraction'.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jan 2020.

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Citing papers per year: 2021: 4; 2022: 5; 2023: 2; 2024: 1; 2025: 4; 2026: 1.

17 papers.

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  1. 2023MindShift: Leveraging Large Language Models for Mental-States-Based Problematic Smartphone Use Interventioncited by 16
  2. 2021Mind-proofing Your Phone: Navigating the Digital Minefield with GreaseTerminatorcited by 2
  3. 2022GreaseVision: Rewriting the Rules of the Interfacecited by 2
  4. 2025Regressor-Guided Image Editing Shifts Emotion and Disengagement Timing in Social Mediacited by 2
  5. 2025State Your Intention to Steer Your Attention: An AI Assistant for Intentional Digital Livingcited by 2
  6. 2024How Do Users Negotiate Harmful Value Conflicts with AI Companions? A Study with Minion, a Technology Probe for In-Situ Human-AI Conflict Responsecited by 1
  7. 2025Unlocking Mental Health: Exploring College Students' Well-being through Smartphone Behaviorscited by 1
  8. 2021SINGA-Easy: An Easy-to-Use Framework for MultiModal Analysiscited by 0
  9. 2021VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Searchcited by 0
  10. 2021Text is NOT Enough: Integrating Visual Impressions into Open-domain Dialogue Generationcited by 0
  11. 2022Discovering Personalized Semantics for Soft Attributes in Recommender Systems using Concept Activation Vectorscited by 0
  12. 2022Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networkscited by 0
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  1. 2022Explanation-Guided Fairness Testing through Genetic Algorithmcited by 0
  2. 2022Using Graph Neural Networks for Program Terminationcited by 0
  3. 2023Tribe or Not? Critical Inspection of Group Differences Using TribalGramcited by 0
  4. 2025A Fast and Minimal System to Identify Depression Using Smartphones: Explainable Machine Learning-Based Approachcited by 0
  5. 2026Drag or Traction: Understanding How Designers Appropriate Friction in AI Ideation Outputscited by 0