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"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
Mon, 17 Aug 2020 13:23:25 +0000
Benjamin Kille <[log in to unmask]>
Andreas Lommatzsch <[log in to unmask]>, Özlem Özgöbek <[log in to unmask]>
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Benjamin Kille <[log in to unmask]>
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News Images Task


Task Schedule (tentative)
31 July: Data release
31 October: Runs due
15 November: Results returned
30 November: Working notes paper
Early December: MediaEval 2020 Workshop

News articles use both text and images to communicate their message. The overall goal of this task is to better understand the relationship the textual content of the articles (including text body, and headlines) and to understand the impact of these elements on readers’ interest in the news (measured by the number of views)

Participants receive a data set of news articles and accompanying images. The news articles consist of text snippets (first 256 characters) and headlines. They can participate in either (or both) of two subtasks.

Task 1: Image-Text Re-Matching
News articles contain images that accompany the text. The connection between the images and text is more complex than often realized. In this task, participants predict (from a set of images) which image was published with a given news article. We also ask participants to report their insights into characteristics that connect the text of news articles and the images.

Task 2: News Click Prediction
News websites present users with recommendations of what to read next. These are often displayed as the article title plus an accompanying image. In this task, participants investigate whether recommendations that are frequently clicked by users can be predicted using the text content of the article and/or the accompanying image.

Participants are encouraged to make their code public with their submission.

Target Audience
This task targets researchers who are interested in the connection between images and text and images and user consumption behavior. This includes people working in the areas of computer vision, recommender systems, cross-modal information retrieval, as well as in the area of news analysis.

Task Organizers
Benjamin Kille, TU Berlin, Germany
Andreas Lommatzsch, TU Berlin, Germany
Özlem Özgöbek, NTNU Trondheim, Norway

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