Nwala

Most recent projects

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StoryGraph quantifies the level of attention given to news stories in near real-time. The nodes of the graph (e.g., Kavanaugh hearings above) represent news stories, an edge between a pair of nodes represents a high degree of similarity between the nodes.
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StoryGraphBot is a Twitter bot that runs every hour, tracking top news stories and creating tweet threads that report updates (rising/falling/same attention) of the stories. See also, Chronicling the life-cycle of top new stories with StoryGraphBot.
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Sumgram is a Python tool that summarizes text collections with their most frequent conjoined n-grams. See also, Introducing sumgram, a tool for generating the most frequent conjoined ngrams.
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Local Memory Project helps users and small communities discover, collect, build, archive, and share collections of stories for important local events from local sources.
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What Did It Look Like is a Twitter bot that replies a tweet that contains the #whatdiditlooklike hashtag and a URL, with Tumblr post of the yearly timelapse of what the webpage looked like.
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#icanhazmemento is a Twitter bot that replies a tweet that contains the hashtag and a URL, with an archived copy of the URL.

Social Media/Computational Social Science. (Local) News

Web Science Web Archiving

Natural Language Processing Machine Learning

About me

I am a Postdoctoral Researcher under the supervision of Dr. Fil Menczer, at the Observatory on Social Media (OSoMe), Indiana University, Bloomington. I conduct research that combines computing, network, and media sciences with a focus on dis/misinformation diffusion, detection, and countering of online manipulation.

PhD Thesis: Bootstrapping Web Archive Collections From Micro-Collections In Social Media.
Masters Thesis: Generating Combinatorial Objects – A New Perspective.

CV/Resume anwala@iu.edu

Languages

  • Python, C++, C#,
  • Java, Assembly Language, PHP,
  • HTML, JavaScript, CSS, MySQL, etc.

Technologies/APIs

  • Twitter, Tumblr,
  • D3.js, MS Kinect SDK,
  • Weka, etc.

Research

  1. Alexander C Nwala, Michele C Weigle, and Michael L Nelson. Garbage, Glitter, or Gold: Assigning Multi-dimensional Quality Scores to Social Media Seeds for Web Archive Collections. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021), 2021.
  2. Dhruv Patel, Alexander C Nwala, Michele C Weigle, and Michael L Nelson. What Did It Look Like: A service for creating website timelapses using the Memento framework. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL 2021), 2021.
  3. Alexander C Nwala, Michele C Weigle, and Michael L Nelson. 365 Dots in 2019: Quantifying Attention of News Sources. In Proceedings of Computation + Journalism Symposium 2020 (CJ 2020), 2020.
  4. Yasith Jayawardana, Alexander C Nwala, Gavindya Jayawardena, Jian Wu, Sampath Jayarathna, Michael L Nelson, and C Lee Giles. Modeling Updates of Scholarly Webpages Using Archived Data. In Proceedings of IEEE International Conference on Big Data (IEEE BigData 2020), 2020.
  5. Alexander C. Nwala, Michele C. Weigle, and Michael L. Nelson. Using Micro-collections in Social Media to Generate Seeds for Web Archive Collections. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL 2019).
  6. Alexander C. Nwala, Michele C. Weigle, and Michael L. Nelson. Scraping SERPs for Archival Seeds: It Matters When You Start. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries (JCDL 2018).
  7. Alexander C. Nwala, Michele C. Weigle, and Michael L. Nelson. Bootstrapping Web Archive Collections from Social Media. In Proceedings of ACM Conference on Hypertext and Social Media, (HT 2018).
  8. Shawn M. Jones, Alexander C. Nwala, Michele C. Weigle, and Michael L. Nelson. The Many Shapes of Archive-It. In Proceedings of iPres, 2018.
  9. Grant Atkins, Alexander C. Nwala, Michele C. Weigle, and Michael L. Nelson. Measuring News Similarity Across Ten U.S. News Sites. In Proceedings of iPres, 2018.
  10. Alexander C. Nwala, Michele C. Weigle, Michael L. Nelson, Adam B. Ziegler, and Anastasia Aizman. Local Memory Project: Providing tools to build collections of stories for local events from local sources. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries, (JCDL 2017).
  11. Alexander C. Nwala and Michael L. Nelson. A Supervised Learning Algorithm for Binary Domain Classification of Web Queries using SERPs. In Proceedings of ACM/IEEE Joint Conference on Digital Libraries, (JCDL 2017).
  12. Eoin C Whelan, Alexander C Nwala, Christopher Osgood, and Stephan Olariu. Selective mutation accumulation: a computational model of the paternal age effect. Bioinformatics, 32(24):3790–3797, 2016.
  13. Wu He, Ashish Kshirsagar, Alexander Nwala, and Yaohang Li. Teaching information security with workflow technology–a case study approach. Journal of Information Systems Education, 25(3), 2014.