Showing 3151–3200 of 3,283 papers, ordered by publication year (newest first), then title.
Age markers as of 2026-11-06.
Author metadata incomplete (2018)
Research category: OSINT Methodology · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2018) · IEEE
Research category: Cyber Threat Intelligence · Investigation type: Vulnerability Assessment
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2018) · PubMed / PubMed Central
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Solution to Detect, Classify, and Report Illicit Online Marketing and Sales of Controlled Substances via Twitter: Using Machine Learning and Web Forensics to Combat Digital Opioid Access 5+ Author metadata incomplete (2018)
Research category: AI/ML for Security · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2018) · ACM Digital Library
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Nickolaos Koroniotis; Nour Moustafa; Elena Sitnikova; Benjamin Turnbull (2018) · Future Generation Computer Systems
Research category: IoT & CPS Security · Investigation type: Forensic Investigation
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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TwitterOSINT: Automated Cybersecurity Threat Intelligence Collection and Analysis using Twiter Data 5+ Author metadata incomplete (2018)
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Sophie Le Page; Guy-Vincent Jourdan; Gregor v. Bochmann; Jason Flood; Iosif-Viorel Onut (2018) · 2018 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cyber Threat Intelligence · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Marc Dupuis; Faisal Khan (2018) · 2018 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Daniel R. Thomas; Richard Clayton; Alastair R. Beresford (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cyber Threat Intelligence · Investigation type: Network Investigation
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · IEEE
Research category: Disinformation & Influence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · Springer
Research category: Social Media & SOCMINT · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · Springer
Research category: Dark Web & Underground · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Andreas Haslebacher; Jeremiah Onaolapo; Gianluca Stringhini (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Dark Web & Underground · Investigation type: Dark Web Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · arXiv
Research category: Malware & Exploits · Investigation type: Malware Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Hiroki Kuzuno; Christian Karam (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Digital Forensics & Evidence · Investigation type: Forensic Investigation
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Mayank Dhiman; Markus Jakobsson; Ting-Fang Yen (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Network & Infrastructure Security · Investigation type: Vulnerability Assessment
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Shehroze Farooqi; Guillaume Jourjon; Muhammad Ikram; Mohamed Ali Kaafar; Emiliano De Cristofaro; Zubair Shafiq; Arik Friedman; Fareed Zaffar (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Sara Amini; Chris Kanich (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Malware & Exploits · Investigation type: Incident Response
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017)
Research category: Cyber Threat Intelligence · Investigation type: Phishing Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Deep Learning for Hate Speech Detection in Tweets 5+ Author metadata incomplete (2017)
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · ResearchGate
Research category: Disinformation & Influence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Andrew Ruef; Eric Nunes; Paulo Shakarian; Gerardo I. Simari (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cyber Threat Intelligence · Investigation type: Attribution
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017) · ACM Digital Library
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017)
Research category: Vulnerability Research · Investigation type: Vulnerability Assessment
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Social Media Sentiment Analysis using Machine Learning Classifiers 5+ Author metadata incomplete (2017)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2017)
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Morvareed Bidgoli; Jens Grossklags (2017) · 2017 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Xiaojing Liao; Kan Yuan; XiaoFeng Wang; Zhou Li; Luyi Xing; Raheem Beyah (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Kevin Liao; Ziming Zhao; Adam Doupe; Gail-Joon Ahn (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Detecting Facial Retouching Using Supervised Deep Learning 5+ Author metadata incomplete (2016)
Research category: Cyber Threat Intelligence · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016) · Elsevier / ScienceDirect
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Maarten Wullink; Moritz Muller; Marco Davids; Giovane C. M. Moura; Cristian Hesselman (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Network & Infrastructure Security · Investigation type: Threat Hunting
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Xuan Zhao; Jay Luan; Matt Wolff (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: AI/ML for Security · Investigation type: Malware Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Leah Zhang-Kennedy; Elias Fares; Sonia Chiasson; Robert Biddle (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Identifying Informative Messages in Disaster Events using Convolutional Neural Networks 5+ Author metadata incomplete (2016)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Javier Vargas; Alejandro Correa Bahnsen; Sergio Villegas; Daniel Ingevaldson (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cyber Threat Intelligence · Investigation type: Phishing Analysis
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Opinion mining and sentiment analysis 5+ Author metadata incomplete (2016)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016) · Springer
Research category: Social Media & SOCMINT · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Srikanth Sundaresan; Damon McCoy; Sadia Afroz; Vern Paxson (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Dark Web & Underground · Investigation type: Attribution
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Blake Butler; Brad Wardman; Nate Pratt (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: OSINT Methodology · Investigation type: Attribution
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016) · Springer
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Alice Hutchings; Richard Clayton; Ross Anderson (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Stephen McLaughlin; Charalambos Konstantinou; Xueyang Wang; Lucas Davi; Ahmad-Reza Sadeghi; Michail Maniatakos; Ramesh Karri (2016) · Proceedings of the IEEE
Research category: IoT & CPS Security · Investigation type: Vulnerability Assessment
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016)
Research category: AI/ML for Security · Investigation type: Threat Hunting
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Author metadata incomplete (2016) · IEEE
Research category: Disinformation & Influence · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Validating Machine Learning Algorithms for Twitter Data Against Established Measures of Suicidality 5+ Author metadata incomplete (2016)
Research category: Social Media & SOCMINT · Investigation type: Social Media Analysis
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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Morvareed Bidgoli; Bart P. Knijnenburg; Jens Grossklags (2016) · 2016 APWG Symposium on Electronic Crime Research (eCrime)
Research category: Cybercrime & Fraud · Investigation type: Other
Collection: APWG.org eCrimes Research · Original collection
Paper details Research context This work reflects the evidence and technical environment at the time of publication. Its methods and insights may remain valuable, while some findings or practical guidance may have been refined or superseded by subsequent research and developments. Please consult more recent sources before applying it to current research or investigations.
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