Reverb Channel: impact of data technology on news gathering

on YouTube ↗20m

" summary

Reverb Channel is a data-driven research program that studies how datamining and machine learning affect digital news media. It builds a platform for professionals to run experiments on data from multiple news sources, and the presentation explains the project’s goals, methods, and its ACED consortium collaboration (including Hogeschool Rotterdam and Universiteit Leiden).

AI-written summary · about

" chapters (5)

1. 0:00Introduction
2. 2:50Data tech impact on news
3. 8:09Research project examples
4. 13:05Labeling challenges and solutions
5. 17:39Applications and future plans

" related talks

• 19mBig data in the service of reliable newsRadu Pop, Benjamin Dauvissat · Berlin Buzzwords 2023
• 22mKeynote: The Future of AI is Data...In More Ways than You ThinkEric Berlow · Open Source Summit Europe & ELC + OpenIoT Summit Europe 2018
• 06mEcho: Analyzing Gameplay Sessions by Reconstructing Them From Recorded DataLoutfouz Zaman, Daniel MacCormick · CHI PLAY 2020
• 37mDeep Recommender SystemsGabriel Moreira · PAPIs Connect 2018
• 03mShowreelPyData Warsaw 2019
• 39mEmphasising Relationships in the BBC's Data Using Technologies of the Semantic WebTheo Windebank · PyData London 2018
• 11mReSpark: Leveraging Previous Data Reports as References to Generate New Reports with LLMsYuan Tian, Haidong Zhang, Yingcai Wu, Chuhan Zhang, Xiaotong Wang, Sitong Pan, Weiwei Cui, Dazhen Deng · UIST 2025
• 19mPopping the Filter BubbleSanne Vrijenhoek · PyData Amsterdam 2019