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The media landscape is undergoing a significant transformation: Media houses are increasingly losing their audiences to new platforms such as TikTok and Instagram. Attention spans are shortening, content is becoming more personalized, and even news is consumed through these platforms. Eventually, users find themselves in a filter bubble, lacking the background knowledge for engaging with interesting content outside of the bubble.

Generative language and cutting-edge multimodal models now offer a solution: Intelligently driven and combined, they enable the extraction of relevant information from texts and images and present it in a format tailored to the context and audience.

Problem

The media landscape is undergoing a profound transformation as media houses lose their audiences to platforms like TikTok and Instagram. This has led to shortened attention spans and an increased formation of filter bubbles. Generative language and multimodal models are seen as a solution to intelligently extract relevant information from texts and images, and present it in a format tailored to the context and audience.

Idea

ContentRicher is a web-based tool designed to assist media companies in reaching a broader audience. It supplements articles for various target groups by identifying relevant personalities and summarizing information from Wikipedia and Instagram. Users can then decide whether to manually integrate the information or utilize the tool's automatic suggestion feature.

Solution

ContentRicher identifies relevant personalities from politics, entertainment, and sports, extracting information from Wikipedia and Instagram for provided texts. The contextually emphasized presentation allows editors to quickly integrate the information into the text, enabling the adaptation of articles to different target audiences with varying levels of prior knowledge. The tool prioritizes open-source models that can be self-hosted.

Veronika Gamper

Veronika brings a diverse background in computer science, film, and media. As the founder of WeDaVinci, a platform dedicated to AI-supported innovation, she promotes collaboration between humans and AI. After studying computer science, her professional journey led her to positions at BCG, CDTM, and RTL. Her passion for algorithms, AI, and creativity drives her daily work.

Other projects

Glasskube

Glasskube enables automatic installation and updates for popular open source software solutions to help organisations reclaim their digital sovereignty.

Find out more

Content Lense

Content lense enables bloggers and publishers to analyse their digital content and generate exciting insights.

Find out more

Open Podcast

Open Podcast is building a free and open ecosystem for podcasts. In the first project the aim is to provide a better analytics data for podcast hosts.

Find out more

ORB

Open Recommendation Butler (ORB) is building an AI language model designed specifically for the media industry that provides knowledge-based search results and thematic recommendations.

GitHub

Speechcatcher

Speechcatcher develops an open source solution for translation, transcription and subtitling of any media files with German language content (audio/video).

GitHub

SnipAId

SnipAId develops Artificial Intelligence generated teasers, summaries and social media posts.

GitHub

Doppelcheck

Doppelcheck, a browser-based AI tool, simplifies fact-checking for journalists and allows for a quick assessment of the credibility of information.

 

Learn more

ContentRicher

ContentRicher complements articles for media companies by identifying relevant personalities from Wikipedia and Instagram, providing the option for manual integration or automatic use of the tool's suggestions.

 

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ANT

ANTicle revolutionizes content creation in digital newsrooms by providing journalists with high-quality texts, headlines, and SEO content, allowing them more space for research and creativity.

 

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Any questions on the Media Tech Lab?

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