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Research into the classification of Image with Text (IWT) troll memes has recently become popular. Since the online community utilizes the refuge of memes to express themselves, there is an abundance of data in the form of memes. These…

社会与信息网络 · 计算机科学 2022-05-11 Shardul Suryawanshi , Bharathi Raja Chakravarthi , Mihael Arcan , Suzanne Little , Paul Buitelaar

This paper considers stochastic bandits with side observations, a model that accounts for both the exploration/exploitation dilemma and relationships between arms. In this setting, after pulling an arm i, the decision maker also observes…

机器学习 · 计算机科学 2012-10-19 Stephane Caron , Branislav Kveton , Marc Lelarge , Smriti Bhagat

Social media platforms are thriving nowadays, so a huge volume of data is produced. As it includes brief and clear statements, millions of people post their thoughts on microblogging sites every day. This paper represents and analyze the…

社会与信息网络 · 计算机科学 2021-08-05 Suchandra Dutta , Dhrubasish Sarkar , Sohom Roy , Dipak K. Kole , Premananda Jana

Spearheaded by retail traders on the website reddit, the GameStop short squeeze of early 2021 shows that social media embeds information that correlates with market movements. This paper seeks to examine this relationship by using daily…

社会与信息网络 · 计算机科学 2023-11-17 James Baker

This research investigates the growing trend of retail investors participating in certain stocks by organizing themselves on social media platforms, particularly Reddit. Previous studies have highlighted a notable association between Reddit…

计算金融 · 定量金融 2023-08-22 Tim Matthies , Thomas Löhden , Stephan Leible , Jun-Patrick Raabe

Bitcoin, with its ever-growing popularity, has demonstrated extreme price volatility since its origin. This volatility, together with its decentralised nature, make Bitcoin highly subjective to speculative trading as compared to more…

统计金融 · 定量金融 2024-06-13 Yanzhao Zou , Dorien Herremans

A key challenge in social network analysis is understanding the position, or stance, of people in the graph on a large set of topics. While past work has modeled (dis)agreement in social networks using signed graphs, these approaches have…

社会与信息网络 · 计算机科学 2022-12-16 John Pougué-Biyong , Akshay Gupta , Aria Haghighi , Ahmed El-Kishky

Predicting financial returns accurately poses a significant challenge due to the inherent uncertainty in financial time series data. Enhancing prediction models' performance hinges on effectively capturing both social and financial…

计算工程、金融与科学 · 计算机科学 2024-03-08 Raffaele Giuseppe Cestari , Simone Formentin

The rapid spread of information over social media influences quantitative trading and investments. The growing popularity of speculative trading of highly volatile assets such as cryptocurrencies and meme stocks presents a fresh challenge…

计算与语言 · 计算机科学 2022-06-14 Ramit Sawhney , Shivam Agarwal , Vivek Mittal , Paolo Rosso , Vikram Nanda , Sudheer Chava

Microblogs are increasingly exploited for predicting prices and traded volumes of stocks in financial markets. However, it has been demonstrated that much of the content shared in microblogging platforms is created and publicized by bots…

社会与信息网络 · 计算机科学 2020-06-29 Stefano Cresci , Fabrizio Lillo , Daniele Regoli , Serena Tardelli , Maurizio Tesconi

Social media creates crucial mass changes, as popular posts and opinions cast a significant influence on users' decisions and thought processes. For example, the recent Reddit uprising inspired by r/wallstreetbets which had remarkable…

机器学习 · 计算机科学 2021-06-18 Juno Kim

Currency trading (Forex) is the largest world market in terms of volume. We analyze trading and tweeting about the EUR-USD currency pair over a period of three years. First, a large number of tweets were manually labeled, and a Twitter…

社会与信息网络 · 计算机科学 2018-07-23 Igor Mozetič , Peter Gabrovšek , Petra Kralj Novak

WeChat is the largest social instant messaging platform in China, with 1.1 billion monthly active users. "Top Stories" is a novel friend-enhanced recommendation engine in WeChat, in which users can read articles based on preferences of both…

社会与信息网络 · 计算机科学 2021-03-05 Fanjin Zhang , Jie Tang , Xueyi Liu , Zhenyu Hou , Yuxiao Dong , Jing Zhang , Xiao Liu , Ruobing Xie , Kai Zhuang , Xu Zhang , Leyu Lin , Philip S. Yu

Recent decades have witnessed online social media being a big-data window for quantificationally testifying conventional social theories and exploring much detailed human behavioral patterns. In this paper, by tracing the emoticon use in…

社会与信息网络 · 计算机科学 2016-02-17 Yue Hu , Jichang Zhao , Junjie Wu

As our reliance on social media platforms and web services increase day by day, exploiters view these platforms as an opportunity to manipulate our thoughts ad actions. These platforms have become an open playground for social bot accounts.…

This paper addresses the problem of risk prediction on social media data, specifically focusing on the classification of Reddit users as having a pathological gambling disorder. To tackle this problem, this paper focuses on incorporating…

计算与语言 · 计算机科学 2024-03-29 Angelina Parfenova , Marianne Clausel

There has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited. This paper introduces StockEmotions, a new dataset for detecting emotions in the stock market that consists of…

计算与语言 · 计算机科学 2023-11-29 Jean Lee , Hoyoul Luis Youn , Josiah Poon , Soyeon Caren Han

For decades, the world of financial advisors has been dominated by large investment banks such as Goldman Sachs. In recent years, user-contributed investment services such as SeekingAlpha and StockTwits have grown to millions of users. In…

社会与信息网络 · 计算机科学 2014-06-05 Gang Wang , Tianyi Wang , Bolun Wang , Divya Sambasivan , Zengbin Zhang , Haitao Zheng , Ben Y. Zhao

WeChat is a mobile messaging application that has 549 million active users as of Q1 2015, and "WeChat Moments" (WM) serves its social-networking function that allows users to post/share links of web pages. WM differs from the other social…

计算机与社会 · 计算机科学 2016-11-17 Zhuqi Li , Lin Chen , Yichong Bai , Kaigui Bian , Pan Zhou

Community detection is an important task in network analysis, in which we aim to learn a network partition that groups together vertices with similar community-level connectivity patterns. By finding such groups of vertices with similar…

机器学习 · 统计学 2015-05-25 Christopher Aicher , Abigail Z. Jacobs , Aaron Clauset