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AI Takes to Trolling Twitter: Plays Dumb, Plans Murder. The 'canary in the coal mine' case for crypto.
How to evaluate a politicians party affiliation and monitor political division using Twitter and Machine Learning Model. Today, I will teach you how to build a machine learning model that predicts a political party affiliation based on their tweets.
Election forecasts are predicting a Biden win with a chance of around 9 in 10, but do these numbers fully capture the uncertainty in the outcome?
Detecting COVID-19 Outbreaks Through Wastewater Monitoring
Debate Analysis using Data Science: Using YouTube Comments to find the true intent of voters. We plot common phrases, common words, we also analyze sentiment and in the end for all my data science practitioners I present them a full-fledged dataset containing YouTube Comments of VP and Presidential debates.
How the U.S. blundered the war on COVID. The U.S. COVID mortality rate is over 4.5 times the median of other wealthy countries, with only slightly better projected economic growth compared to the last ...
Polarization is increasing. How does this play out in the Senate? As such, the first factor contributing to this perceived polarization is competition for control of the chamber through winning elections. If a bill ...
Urban, suburban or rural? Americans’ perceptions of their own community type differ by party. In this post, I’ll describe how we arrived at that conclusion and what it may mean for future research projects.
Inside the World’s ‘Most Sophisticated’ Surveillance System, With BuzzFeed News’ Megha Rajagopalan. A leading China reporter talks to Alex Kantrowitz about surveillance, internet censorship, and the internment of Muslims in Xinjiang
Analyzing the Presidential Debate 2020 with text mining techniques. Looking at the debate with Data Science. This article focuses on finding out the most used words, categorized by each spokesperson, and sentiment analysis of the speeches.
In this blog post, I’ll show you how to use Apache Pinot and Superset to analyze 3 million tweets by the Internet Research Agency (IRA) open-sourced by FiveThirtyEight.
Ideology Classification of U.S. News through Sentiment. Political division is a major problem in the U.S. The Ideology of news providers widens this division. Classifying ideology through NLP is crucial.
Is QAnon a grassroots phenomenon, or is it largely driven by a few influencers? The social network is deleting groups, pages and accounts linked to the conspiracy theory movement.
Whenever you encounter a feature online intended to deceive or trick the end user, this is known as a dark pattern. It might be a button you can’t avoid, an intentionally hidden feature, a “limited time” discount with no end date.
How we use Data Science to unfold Ad strategies of Biden and Trump with Illuminating? This blog goes through our method of digging the ad strategies of Joe Biden and Donald Trump with best-in-industry ML and data science.
In this article, I’ll take a look at some of the tools and techniques available to obtain, analyze and visualize the data in a way that discerns the Twitter influencers from those who are just shouting into an empty space.
AI & Multiple Commitments. I am committed to learning more about artificial intelligence (AI) and have been writing one new article about or related to AI every day for 456 days.
Part 2: Scraping multiple pages at a time. In this post, I will continue to walk through the process I used to create a custom function to retrieve and store targeted information directly from web pages.
Analyze YouTube Discourse and Find Troll Bots with Python. Use the YouTube Data API to Analyze Political Discourse in YouTube Comments and Identify Bots