I am an artist looking to create a visual work that appears to be a stock market style tika-tape display formed of a live data stream, scoring nations by numbers of violent deaths through conflict divided by MSM coverage.
I believe that creating a live index to monitor and rank countries based on media coverage of violent deaths, due to conflict, involves several key steps, including data collection, natural language processing, sentiment analysis, and real-time data updating.
I will need to gather articles and news content from multiple media sources. This can be achieved using web scraping, RSS feeds, or media APIs. As well as prepare the collected data by cleaning and processing it to extract relevant information about violent deaths and conflicts.
Then, use NLP techniques to identify and extract information about violent deaths and conflicts from the articles. Analyze the sentiment and classify the extracted events to ensure they are related to violent deaths due to conflict.
I will need to develop a scoring system to quantify the coverage and create a live index as well as implement a pipeline to update the index in real-time as new articles are published.
I can contribute to some of this, as far as aesthetics and theory is concerned but where I need help is making the data then code into a live Wordpress page or similar - a kind of online countdown clock and something I can then use to display in tick-tape form across buildings or in galleries.
I have already been playing with Chatgpt (obviously) and a lot of the information is there, but its taking the Python based code that can run these elements and turning it into a visual web page that Im looking for some one to assist on.
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