Kornraphop Kawintiranon

Kornraphop Kawintiranon
Georgetown University | GU · Department of Computer Science

Intern at Google & Twitter

About

13
Publications
2,596
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
360
Citations
Introduction
I'm a Ph.D. candidate at Georgetown University. My interests include Data Mining, Machine Learning, Natural Language Processing, and Computational Social Science. Now I'm working on data mining projects including misinformation detection on social media, spam detection and stance detection.
Additional affiliations
May 2022 - August 2022
Twitter
Position
  • Machine Learning Intern
Description
  • Leverage AI/ML to mitigate misinformation on Twitter
June 2021 - August 2021
Google Inc.
Position
  • Software Engineer Intern PhD
Description
  • AutoML, Explainable AI, Time Series Forecasting
July 2017 - April 2020
Georgetown University
Position
  • Research Assistant
Education
August 2017 - May 2022
Georgetown University
Field of study
  • Computer Science
May 2012 - July 2016
Chulalongkorn University
Field of study
  • Computer Engineering

Publications

Publications (13)
Conference Paper
Full-text available
Curriculum analysis is attracting widespread interest in educational field. There are two main approaches: (i) human-based and (ii) text-based assessments. Although an evaluation by teachers and learners are widely used, it is inconvenient and time-consuming. Also, the results absolutely rely on individual attitude. The text-based approach aims to...
Preprint
Full-text available
Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media, specifically Twitter, with respect to COVID-19, the themes of discussion, where the discussion is emerging from, myths s...
Article
Full-text available
This article investigates the prevalence of high and low quality URLs shared on Twitter when users discuss COVID-19. We distinguish between high quality health sources, traditional news sources, and low quality misinformation sources. We find that misinformation, in terms of tweets containing URLs from low quality misinformation websites, is shared...
Article
Full-text available
Social media data has a mix of high and low-quality content. One form of commonly studied low-quality content is spam. Most studies assume that spam is context-neutral. We show on different Twitter data sets that context-specific spam exists and is identifiable. We then compare multiple traditional machine learning models and a neural network model...
Article
Full-text available
When U.S. presidential candidates misrepresent the facts, their claims get discussed across media streams, creating a lasting public impression. We show this through a public performance: the 2020 presidential debates. For every five newspaper articles related to the presidential candidates, President Donald J. Trump and Joseph R. Biden Jr., there...
Preprint
Full-text available
General Data Protection Regulation (GDPR) becomes a standard law for data protection in many countries. Currently, twelve countries adopt the regulation and establish their GDPR-like regulation. However, to evaluate the differences and similarities of these GDPR-like regulations is time-consuming and needs a lot of manual effort from legal experts....
Conference Paper
The pervasiveness of false information continues to increase. Different tools have been developed to identify and track it. However, little has been done to understand the discussion surrounding it. Fact Context Framer is a tool that fills this gap. It attempts to highlight the amount of conversation and the salient topics of conversation surroundi...
Conference Paper
Full-text available
Data sets and models: https://github.com/GU-DataLab/stance-detection-KE-MLM ----- Detecting stance on Twitter is especially challenging because of the short length of each tweet, the continuous coinage of new terminology and hashtags, and the deviation of sentence structure from standard prose. Fine-tuned language models using large-scale in-domain...
Article
Full-text available
While debates tend to have a limited effect on a presidential election’s outcome, they can nonetheless play an important role in the way that the media frames the campaigns. In new research Lisa Singh, Ceren Budak, Kornraphop Kawintiranon and Stuart Soroka analysed real-time responses of Twitter uses to the first and second presidential debates. Th...
Article
Full-text available
Since December 2019, COVID-19 has been spreading rapidly across the world. Not surprisingly, conversation about COVID-19 is also increasing. This article is a first look at the amount of conversation taking place on social media, specifically Twitter, with respect to COVID-19, the themes of discussion, where the discussion is emerging from, myths s...
Conference Paper
Worldwide displacement due to war and conflict is at all-time high. Unfortunately, determining if, when, and where people will move is a complex problem. This paper proposes integrating both publicly available organic data from social media and newspapers with more traditional indicators of forced migration to determine when and where people will m...

Network

Cited By