{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,18]],"date-time":"2025-11-18T12:16:34Z","timestamp":1763468194064,"version":"3.28.0"},"reference-count":26,"publisher":"Association for Computing Machinery (ACM)","issue":"14","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Proc. VLDB Endow."],"published-print":{"date-parts":[[2013,9]]},"abstract":"<jats:p>Many novel applications have been built based on analyzing tweets about specific topics. While these applications provide different kinds of analysis, they share a common task of monitoring \"target\" tweets from the Twitter stream for a topic. The current solution for this task tracks a set of manually selected keywords with Twitter APIs. Obviously, this manual approach has many limitations. In this paper, we propose a data platform to automatically monitor target tweets from the Twitter stream for any given topic. To monitor target tweets in an optimal and continuous way, we design Automatic Topic-focused Monitor (ATM), which iteratively 1) samples tweets from the stream and 2) selects keywords to track based on the samples. To realize ATM, we develop a tweet sampling algorithm to sample sufficient unbiased tweets with available Twitter APIs, and a keyword selection algorithm to efficiently select keywords that have a near-optimal coverage of target tweets under cost constraints. We conduct extensive experiments to show the effectiveness of ATM. E.g., ATM covers 90% of target tweets for a topic and improves the manual approach by 49%.<\/jats:p>","DOI":"10.14778\/2556549.2556577","type":"journal-article","created":{"date-parts":[[2014,6,24]],"date-time":"2014-06-24T12:17:57Z","timestamp":1403612277000},"page":"1966-1977","source":"Crossref","is-referenced-by-count":23,"title":["Towards social data platform"],"prefix":"10.14778","volume":"6","author":[{"given":"Rui","family":"Li","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengjie","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kevin Chen-Chuan","family":"Chang","sequence":"additional","affiliation":[{"name":"Advanced Digital Sciences Center, Illinois at Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2013,9]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2003.1260786"},{"key":"e_1_2_1_2_1","first-page":"118","volume-title":"NIPS","author":"Bach F. 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