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Value and Misinformation in Collaborative Investing Platforms
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Stylometric Analysis for Authorship Attribution on Twitter
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Winning by Following the Winners: Mining the Behaviour of Stock Market Experts in Social Media
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On the Predictability of Stock Market Behavior Using StockTwits Sentiment and Posting Volume
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Constraints on short-selling and asset price adjustment to private information
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Twitter mood predicts the stock market
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Quantifying Trading Behavior in Financial Markets Using Google Trends
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Quantifying Wikipedia Usage Patterns Before Stock Market Moves
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Wisdom of Crowds: The Value of Stock Opinions Transmitted Through Social Media
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III. Contributions to the mathematical theory of evolution
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X. Contributions to the mathematical theory of evolution.—II. Skew variation in homogeneous material
inferredcites →https://doi.org/10.1109/asonam.2012.30openalex-snapshot
Analyzing Stock Market Movements Using Twitter Sentiment Analysis
inferredcites →https://doi.org/10.1109/cifer.2003.1196287openalex-snapshot
Stock prediction: Integrating text mining approach using real-time news
inferredcites →https://doi.org/10.1109/sp.2012.34openalex-snapshot
Detecting Hoaxes, Frauds, and Deception in Writing Style Online
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On the Feasibility of Internet-Scale Author Identification
inferredcites →https://doi.org/10.1109/wi-iat.2013.48openalex-snapshot
Stock Prediction Using Event-Based Sentiment Analysis
inferredcites →https://doi.org/10.1111/j.1468-036x.2013.12007.xopenalex-snapshot
Tweets and Trades: the Information Content of Stock Microblogs
inferredcites →https://doi.org/10.1111/j.1540-6261.2010.01625.xopenalex-snapshot
When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks
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Predictors of answer quality in online Q&A sites
inferredcites →https://doi.org/10.1145/1367497.1367587openalex-snapshot
Knowledge sharing and yahoo answers
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Can blog communication dynamics be correlated with stock market activity?
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Get another label? improving data quality and data mining using multiple, noisy labelers
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Textual analysis of stock market prediction using breaking financial news
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'Helpfulness' in online communities
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An analysis of social network-based Sybil defenses
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Detecting and characterizing social spam campaigns
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Uncovering social network sybils in the wild
inferredcites →https://doi.org/10.1145/2207676.2208410openalex-snapshot
Understanding experts' and novices' expertise judgment of twitter users
inferredcites →https://doi.org/10.1145/2441776.2441886openalex-snapshot
Analyzing the quality of information solicited from targeted strangers on social media
inferredcites →https://doi.org/10.1145/2487575.2487580openalex-snapshot
Spotting opinion spammers using behavioral footprints
inferredcites →https://doi.org/10.1145/2512938.2512951openalex-snapshot
Comparing and combining sentiment analysis methods
inferredcites →https://doi.org/10.1145/2531602.2531690openalex-snapshot
Collaborative problem solving
inferredcites →https://doi.org/10.1561/1500000011openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1561/9781601981516openalex-snapshot
Opinion Mining and Sentiment Analysis
inferredcites →https://doi.org/10.1609/icwsm.v4i1.14023openalex-snapshot
Widespread Worry and the Stock Market
inferredcites →https://doi.org/10.1609/icwsm.v7i1.14380openalex-snapshot
Opinion Fraud Detection in Online Reviews by Network Effects
inferredcites →https://doi.org/10.2139/ssrn.2017099openalex-snapshot
Can Facebook Predict Stock Market Activity?
inferredcites →https://doi.org/10.2200/s00416ed1v01y201204hlt016openalex-snapshot
Sentiment Analysis and Opinion Mining
inferredcites →https://doi.org/10.3115/1075096.1075150openalex-snapshot
Accurate unlexicalized parsing
inferredcites →https://doi.org/10.3115/1667583.1667682openalex-snapshot
The contribution of stylistic information to content-based mobile spam filtering
inferredcites →https://doi.org/10.48550/arxiv.1204.3516openalex-snapshot
When majority voting fails: Comparing quality assurance methods for noisy human computation environment
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Social Turing Tests: Crowdsourcing Sybil Detection
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DON’T FOLLOW ME - Spam Detection in Twitter
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.dss.2018.06.002openalex-snapshot
Deep neural networks understand investors better
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.123522openalex-snapshot
FollowAKOInvestor: Stock recommendation by hearing voices from all kinds of investors with machine learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2020.102452openalex-snapshot
Assessing dynamic qualities of investor sentiments for stock recommendation
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.132522openalex-snapshot
Overcoming structural and similarity barriers: Graph neural network-based contextual reasoning for detecting incongruent and partially misleading news
inferred← citeshttps://doi.org/10.1016/j.pacfin.2026.103336openalex-snapshot
Sweet tones, bitter returns: Strategic optimism in Chinese hedge fund managers' informal statements
inferred← citeshttps://doi.org/10.1080/08874417.2021.1983487openalex-snapshot
Managing Users’ Behaviors on Open Content Crowdsourcing Platform
inferred← citeshttps://doi.org/10.1109/access.2024.3406644openalex-snapshot
Navigating the Web of Disinformation and Misinformation: Large Language Models as Double-Edged Swords
inferred← citeshttps://doi.org/10.1109/ictai50040.2020.00137openalex-snapshot
FollowAKOInvestor: Using Machine Learning to Hear Voices from All Kinds of Investors
inferred← citeshttps://doi.org/10.1109/informatics57926.2022.10083476openalex-snapshot
Analysing the controversial social media community
inferred← citeshttps://doi.org/10.1109/irc.2018.00082openalex-snapshot
Finding Expert Authors in Financial Forum Using Deep Learning Methods
inferred← citeshttps://doi.org/10.1145/3411764.3445221openalex-snapshot
Tag a Teacher: A Qualitative Analysis of WhatsApp-Based Teacher Networks in Low-Income Indian Schools
inferred← citeshttps://doi.org/10.1186/s40854-022-00423-9openalex-snapshot
Predicting abnormal trading behavior from internet rumor propagation: a machine learning approach
inferred← citeshttps://doi.org/10.21900/j.alise.2024.1744openalex-snapshot
Misinformation Knowledge Synthesis: Using Meta-Analysis to Develop Interdisciplinary Interventions
inferred← citeshttps://doi.org/10.48550/arxiv.1804.04406openalex-snapshot
Cashtag piggybacking: uncovering spam and bot activity in stock microblogs on Twitter
inferred← citeshttps://doi.org/10.5565/rev/redes.898openalex-snapshot
Análisis de influenciadores en Twitter
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