Beyond Satisfaction: Learning Associations Between Content, Reviews, and Well-Being

2026-07-07T08:52:17Z27020864f84b6aa2ca119d894eb1e6b4dce289b7a61854d7887f621c59599942
androidcontent-moderationdatasetdecentralized-financedefieconomic-riskmalicious-linksmisinformationmobile-securityoraclesphishingprivacysdk-dependenciessmart-contractssocial-mediasoftware-supply-chainvulnerability-research

What happened

This collection highlights multiple security- and safety-relevant findings across social platforms, mobile ecosystems, and DeFi: (1) An exploratory study shows major Android social media apps lack effective defenses against malicious URL posting, enabling phishing/malware distribution via link-sharing and indicating a platform-level content-moderation/filtering gap. (2) A large-scale Android app↔SDK dataset (334,719 app-version observations; 246 SDKs) reveals pervasive third‑party SDK dependencies and supports analysis of supply‑chain, privacy, and upstream control risks in mobile apps. (3) A新

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_si
Record identifier
27020864f84b6aa2ca119d894eb1e6b4dce289b7a61854d7887f621c59599942
Enrichment time
2026-07-07T08:52:17Z
AI-assisted enrichment
Yes

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Record · Beyond Satisfaction: Learning Associations Between Content, Reviews, and Well-Being · Baitaphish