MediaFutures Demos
Below you can find a collection of Demos created by researchers at SFI MediaFutures.
- Tank Classifier
- [NEW]
- Language Checker
- [NEW]
- Re-Ranker
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- Ballspark
- [NEW]
- News Usage
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- News in English
- [NEW]
- Lørdagsrådet
- [NEW]
- Media Forensics
- [NEW]
- Debatten
- [NEW]
- History Extra Podcast
- [NEW]
- Food Recommender Bot
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- Gender Guesser
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- Visual Feature Recommender
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- Vikingane
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- Valkyrien
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- Exit2
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- Svaltards
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- TweetSearcher
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- LiveTweets
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Tank Classifier
2023
faktisk.demo.mediafutures.no/tankThe wide use of social media nowadays allows for sharing unlimited amounts of information, which also means that some of it might be incorrect. Journalists state that it is very time-consuming to manually verify all content that comes in, especially when it requires domain knowledge, as it does with artillery machinery. To be able to convey the real story and sort out the false information, AI Tank Classifier in collaboration with Faktisk has been created. The AI image classifier recognizes tanks and artillery vehicles and makes it easier for journalists and fact-checkers to verify content and spend more time on researching the sources. Author: Sohail Ahmed Khan.

Language Checker
2023
faktisk.demo.mediafutures.no/langIt is often that a video or an audio circulates online and contains information spoken in a language that people either do not understand or even do not recognize. This type of media can be easily used to manipulate the public by providing false translations and conveying the message that might significantly differ from the original. In order to be able to verify what language is being spoken, what is actually being said and where this language is spoken, Language Checker, created in collaboration with Faktisk, takes in an audio or video input and translates it to English, while also providing some details mentioned above. Author: Sohail Ahmed Khan.

Not Mobile Friendly
Re-Ranker
2022
rerank.demo.mediafutures.noRecommender systems are used in practice on most streaming platforms. However, the recommendations provided to users can be affected by popularity bias, meaning that the most popular items are recommended time and time again, while more niche movies or series rarely make an appearance. Re-Ranker attempts at tackling this problem, while also taking into account user's watching history, since some users prefer popular items and, thus, should get more popular recommendations, while niche users want to discover something less mainstream. Author: Anastasiia Klimashevskaia.

Ballspark
2022
SingleDevice
MediaFutures edition of Ballspark. Soccer discussion (in Norwegian), quite heavy Bergen dialect. Fully automatic using Whisper (large) and nvidia/speakerverification titanet (large) for transcribing and speaker identification. Info links are based on a Norwegian trained network for annotation combined with simple Wikipedia searches. Author: Njål Borch.

Not Mobile Friendly
News Usage
2022
newsusage.demo.mediafutures.noTo be able to build successful and useful news recommender systems, it is crucial to understand media consumption, which can often be challenging for researchers due to overwhelming amount of content online that proves to be difficult to track. News Use Aggregation Tool allows to look deeper into users' media diet and visually represent how users consume media, focusing on user history over a month and providing infographics that can be used for further research. Author: Marianne Borchgrevink-Brækhus.

News in English
2022
MediaFutures edition of News in English. Created for Norwegian school pupulils. Added some relevant articles manually, otherwise automated. Texts created fully automatic using Whisper (large) and nvidia/speakerverification titanet (large) for transcribing and speaker identification. Info links are based on a Norwegian trained network for annotation combined with simple Wikipedia searches. Author: Njål Borch.

Lørdagsrådet
2022
SingleDevice
MediaFutures edition of Lørdagsrådet. A discussion show with four panelists in a humourous, fast paced problem solving debate. Fully automatic using Whisper (large) and nvidia/speakerverification titanet (large) for transcribing and speaker identification. Info links are based on a Norwegian trained network for annotation combined with simple Wikipedia searches. Author: Njål Borch.

Media Forensics
2022
mediaforensics.mediafutures.noFact-checking visual user-generated content is crucial to be able to navigate in the streams of information provided online. Media Forensics Repository presents a diverse set of resources to assist journalists, fact-checkers, and the public in verifying such content. Author: Sohail Ahmed Khan.

Debatten
2022
MultiDevice
MediaFutures edition of Debatten, 1. November 2022. Includes dynamic aspect ratio (MediaPipes AI), Fancy Subs (Automated, Whisper++). Author: Njål Borch.

History Extra Podcast
2022
SingleDevice
MediaFutures edition of History Extra. Fully automatic using Whisper (large) and nvidia/speakerverification titanet (large) for transcribing and speaker identification. Info links are based on a Norwegian trained network for annotation combined with simple Wikipedia searches. Author: Njål Borch.

Food Recommeder Bot
2022
foodbot.demo.mediafutures.noHow can recommender systems be used for guiding users towards healthy food choices? By using the Food Recommender Bot and providing their allergies and food preferences, users get access to recipes recommendations that focus on different health-related goals, compared to what users might normally eat. Available as a bot and can be used from a mobile phone. Author: Ayoub El Majjodi.

Gender Guesser
2022
genderguesser.demo.mediafutures.noCurrently there is a big debate on use of language models for various aspects of everyday life: generating text, reviewing policies and etc. However, understanding how these models are created and what data is used for training is crucial for deciding whether these models are fair and applicable to real life. Gender Guesser lets users interactively learn about gender bias in Norwegian BERT models. Author: Samia Touileb.

Not Mobile Friendly
Visual Feature Recommender
2022
visfeat.demo.mediafutures.noMovie recommenders are quite efficient at providing good suggestions, once there is enough data about both users and items from the platform. However, how do we tackle the Cold Start problem, when there is no information about users yet or when information about items themselves is unavailable? Visual Feature Recommender provides a novel way of approaching the problem by automatically extracting stylistic visual features from movie posters and recommending movies based on them. Author: Snorre Alvsvåg.

Vikingane
2021
MultiDevice
MediaFutures edition of Vikingane Series 3, episode 1. Includes recorded audio descriptions, new subtitles and dynamic aspect ratio. AI Video uses an AI to position the dynamic aspect ratio. Author: Njål Borch.

Valkyrien
2021
MultiDevice
MediaFutures edition of Valkyrien Series 1, episode 1. Includes recorded audio descriptions, new subtitles and dynamic aspect ratio. AI Video uses an AI to position the dynamic aspect ratio. Author: Njål Borch.

Exit2
2021
MultiDevice
MediaFutures edition of Exit Series 2, episode 1. Includes recorded audio descriptions, new subtitles and dynamic aspect ratio. AI Video uses an AI to position the dynamic aspect ratio. Author: Njål Borch.

Svaltards
2021
This is a subtitled podcast (actually a radio documentary). It has been subtitled with fancy subtitles and there is also a slideshow edition where some visuals have been added. No controls or audio on the chat, so slides must be used to control it (for now). Author: Njål Borch.
Deprecated demos

TweetSearcher
2022
For users who want to find relevant contextual information, including related images and news, surrounding a specific tweet. TweetSearcher collects them for you, using an image search and a news search, all that you need to start is a link to the tweet. Authors: Ghazaal Sheikhi, Daniel Rosnes.

Live Tweets
2022
Twitter can be very useful when a user is searching for what other people have shared about an ongoing event in real time but it can also prove difficult to find relevant tweets due to an overwhelming number of people posting at the same time. LiveTwets is a framework that monitors Twitter in order to find tweets that relate to an ongoing event. Developed with sports events in mind. Authors: Bjørnar Tessem, Daniel Rosnes.