DESPIC: Detecting Early Signatures of Persuasion in Information Cascades

Abstract

The goal of DESPIC project was developing a technological infrastructure to automatically detect orchestrated campaigns on social media in their early stage of diffusion. Such campaigns include rumors, spread of misinformation, persuasion attempts, and advertising. We designed and implemented a distributed infrastructure for the efficient collection, archival and retrieval of Twitter data, and a framework for clustering messages in topically coherent memes in a streaming scenario. Our infrastructure has served as the basis for the development of machine learning infrastructures to discriminate between naturally trending and promoted content, the identification of social bots, the identification of rumors, and the prediction of burstiness and popularity of memes.

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Document Details

Document Type
Technical Report
Publication Date
Aug 27, 2015
Accession Number
ADA624811

Entities

People

  • Alessandro Flammini
  • Filippo Menczer
  • Qiaozhu Mei
  • Sergey Malinchik

Organizations

  • Indiana University

Tags

Communities of Interest

  • Cyber
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Anomaly Detection
  • Change Detection
  • Computers
  • Data Analysis
  • Data Mining
  • Dimensionality Reduction
  • Feature Extraction
  • Geography
  • Human Behavior
  • Information Retrieval
  • Information Science
  • Machine Learning
  • Network Science
  • Online Communications
  • Social Media
  • Social Networking Services
  • Students

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Oncology and Biomarker-Based Cancer Detection.
  • Systems Analysis and Design

Technology Areas

  • AI & ML