PPT-Telegrams to Tweets: Creating More Engaged Citizens

Author : liane-varnes | Published Date : 2017-09-06

Peggy ONeillJones EdD Director Library of Congress Teaching with Primary Sources Western Region Metropolitan State University of Denver oneilljpmsudenveredu Kelly

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Telegrams to Tweets: Creating More Engaged Citizens: Transcript

Peggy ONeillJones EdD Director Library of Congress Teaching with Primary Sources Western Region Metropolitan State University of Denver oneilljpmsudenveredu Kelly JonesWagy Social Studies Teacher. Large-scale near-real-time stream processing. Tathagata . Das (TD). along with. Matei. . Zaharia. , . Haoyuan. Li, Timothy Hunter, Scott . Shenker. , Ion . Stoica. , and many others. UC BERKELEY. What is . Charles L. Wasson, III, CPCU. Sandy Wasson & Associates Insurance, Inc.. clwasson@wassonandassoc.com. 727-392-4400. Christopher J. Denicolo, . J.D., LL.M.. Gassman Law Associates, P.A.. christopher@gassmanpa.com. Keyphrase. Extraction from Twitter. Zhao, et al. (ACL 2011). Presented by. :. Shibamouli . Lahiri. Overview. Observations. Previous Work. Keyphrase. Ranking. Dataset. Results. 2. Overview. Observations. Zhe. Zhao Paul Resnick . Qiaozhu. Mei. Presentation Group . . 2 . Outline. Introduction. Background Study. Approach For Detection. Experimental Setup. Evaluation. Conclusion. WHAT IS RUMOR?. Rumor is a controversial, fact-checkable. Large-scale . near-. real-time . stream processing. UC BERKELEY. Tathagata Das (TD). Motivation. Many important applications must process large . data streams . at second-scale latencies. Check-ins, status updates, site . :. Analyzing Tweets for Real-Time Event Detection. Takehi. . Sakaki. Makoto Okazaki Yutaka Matsuo. @. tksakaki. @okazaki117 @. ymatsuo. . the University of Tokyo. Introduction. Summary. Question: . Do MPs use twitter to engage with young voters and encourage them to vote. ?. Answer. : . Some MPs (and . panel activists. ) . do. Labour. seem more active on this front. . Most stick to key messages (not twitter specific). 1Q-3Q 2012 vs. 1Q–3Q 2015. Viewers Passion for Professional Premium Content is Evident Through Social Media. There are . approximately . One Billion. TV-related tweets annually . (and growing)…. digitales. Análisis de redes sociales online y minería de texto para las ciencias sociales. Camilo Cristancho. camilo.cristancho@uab.cat. . Día 1. Obtención . de datos estructurados. Consideraciones . Missteps and Milestones Using Twitter in the Classroom. Mary T. Rogus. Ohio University. @. MTRogus. Television News Producing class. Very difficult to give students practice in breaking news. Twitter offered way to simulate breaking news. digitales. Análisis de redes sociales online y minería de texto para las ciencias sociales. Camilo Cristancho. camilo.cristancho@uab.cat. . Día 1. Obtención . de datos estructurados. Consideraciones . Kim . kardashian. Why. are they a celeb?. Reality TV. How. many current followers. 49.3 million. How many tweets. sent. 22.5K. Nature of first. tweet. As below, saying hello to the world, stroking. Vocabulary. Handle. @Mentions . Tweet. Follow. Timeline. DM. Trending. URL . Shorteners. Vocabulary: . Hashtag. Vocabulary: RT. Tips: Tweets. Pictures and video are popular. Strive for a behind the scenes, casual relationship. them”. Luca Molinari. BE-CO-APS. March 13, 2017. Agenda. BE-CO-APS, Luca Molinari. 1. Introduction. TGM . Video (. ∀). CTIM . Monitoring (∀). BcdSet. . Viewer (LL). jTimDiag. (∀). MTG . Diagnostic (LL).

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