Information cascade, social media, and political stance in China
In this recent study on the role of information cascades in driving political polarization when engaging with different social network structures. Through a model that evaluates an individual’s reaction towards the news shared by their social ties to determine whether or not it is “preferable”, social networks would adjust their social ties to avoid providing […]
Why Influencer Marketing Can Be Important
With the popularity of social media, influencer marketing is becoming more and more popular. In the case of networks, we can see the significance of influencers when it comes to cascades and clusters. In class, we saw that cascades only come to an end when coming across a cluster with a density greater than 1 […]
Network Effects on The Climate Crisis
When approached from a scientific perspective, the climate crisis can be a relatively simple issue. Global temperatures are rising, which is followed by rising sea levels, increased storm activity, mass extinction, and many other adverse effects. A large majority of this can be attributed to emissions, pollution, and other human activity. Naturally, when it comes […]
Information Cascade On Twitter
https://dl.acm.org/doi/pdf/10.1145/1935826.1935845 The paper “Everyone’s an Influencer: Quantifying Influence on Twitter” takes what we learned in class about information cascades to practice. It focuses on a specific social platform Twitter. It specifically tracks 74 million diffusion events on the Twitter follower graph over a two-month period in 2009 to look into the characteristics and relative influence […]
Bayes Rule for Soccer Predictions Ahead of the World Cup
https://medium.com/codex/football-analytics-using-bayesian-network-for-analyzing-xg-expected-goals-705e63e597c2 Every four years, the entire world comes together to watch 32 countries with the best national football teams fight for a chance at the glorious World Cup. Simply by it’s name, The World Cup, it’s prestige and importance are highlighted for what it is, the most important sporting event in the world. But as […]
Information Cascades in Kenya’s Pre-Election Disinformation
Kenya just ended a closely contested presidential election on August 8th, in which H.E William Ruto defeated Hon Raila Odinga to rule the country for the next five years. Unlike previous elections, however, this year’s race was primarily fought on social media platforms, with each candidate hiring teams of social media bigwigs to push their […]
Information Cascades on Social Media
In class we’ve recently covered the topic of information cascades. By definition, an information cascade is a phenomenon where a number of people make the same decision in a sequential fashion based on little initial information and each person’s decision is heavily influenced by observing the people before them. In essence, it’s a decision snowball […]
Information Cascades and Twitter
Social media platforms have allowed people around the world to connect and share information. Around 71% of Americans now get their news from major social media outlets such as Twitter, Meta and Youtube instead of print and television media. However, these same platforms have been accused of fostering hate speech and the proliferation of fake […]
How Bayes’ Rule and Conditional Probabilities Can Be Used in 2022 Midterms
Bayes’ Rule can be directly applied to making election predictions, particularly in our midterm elections. It is clear that the outcome of our elections and voting trends relates to the current political climate. Specifically, I am focused on the likelihood of Georgia runoffs in 2022 after 2020, and how the outcome of the midterm elections […]
Accuracy of Covid-19 Tests with Bayes Rule
Source: https://www.cochrane.org/CD013705/INFECTN_how-accurate-are-rapid-antigen-tests-diagnosing-covid-19 Bayes Rule, a probability theory discovered by Thomas Bayes in 1763, provides us with a way to update our beliefs based on the arrival of new, relevant pieces of evidence. As we learned more about Bayes Rule during the lecture, I could not help but think about the application of Bayes Rule during […]
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