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3 results for “Online chat”
What Makes Sports Fans Interactive? Identifying Factors Affecting Chat Interactions in Online Sports Viewing
<p> </p> <p> </p> <p><strong>1. Chat message data</strong></p> <p>- kbo2011_naverbasevall_comment.sql: chat messages in Naver Sports that users posted in 2011<br /> - kbo2012_naverbasevall_comment.sql: chat messages in Naver Sports that users posted in 2012</p> <p>Each MySQL table consists of the following six columns.<br /> 1. comment_id: Integer variable to identify each comment<br /> 2. gid: Integer variable to identify each game<br /> 3. uid: Integer variable to identify each user<br /> 4. category_id: A team name that a user selected when a chat message is posted<br /> 5. content: Chat message text<br /> 6. post_time_relative: Elapsed seconds since the game starts</p> <p> </p> <p><strong>2. KBO game information</strong></p> <p>- game_basic.sql: KBO game information in 2011/2012<br /> <br /> (This data was collected from here, http://sports.news.naver.com/schedule/index.nhn?uCategory=&category=kbo&year=2010&month=03)</p> <p>This MySQL table consists of the following 12 columns.<br /> 1. gid: Integer variable to identify each game<br /> 2. game: Game ID used in Naver Sports<br /> 3. year: year of the game play<br /> 4. month: month of the game play<br /> 5. date: date of the game play<br /> 6. time: time of the game play<br /> 7. day: day of the game play<br /> 8. team_away: name of the away team<br /> 9 team_home: name of the home team<br /> 10. score_away: score by the away team<br /> 11. score_home: score by the home team<br /> 12. location: location of the game play</p> <p> </p> <p><strong>3. KBO game play-by-play data </strong></p> <p>- game_playbyplay.sql: playbyplay data in 2011/2012</p> <p>(This data was collected from Naver Sports; EX, http://sports.news.naver.com/gameCenter/gameRecord.nhn?category=kbo&gameId=20100327HHSK0)</p> <p>This MySQL table consists of the following 21 columns.</p> <p>1. play_no: Integer variable to identify each play<br /> 2. gid: Integer variable to identify each game<br /> 3. inning: inning of the play<br /> 4. pitcher: current pitcher name<br /> 5. batter: current batter name<br /> 6. batter_no: current batter order<br /> 7. pitch: the pitch result<br /> 8. strike: current number of strikes<br /> 9. ball: current number of balls<br /> 10. out_cnt: current number of outs<br /> 11. score_home: current score of the home team<br /> 12. score_away: current score of the away team<br /> 13. 1st_base: player name on the 1st base <br /> 14. 2nd_base: player name on the 2nd base<br /> 15. 3rd_base: player name on the 3rd base<br /> 16. runner_state: overall state of the three bases (ex: 1 --> A player is on 1st base, but 2nd and 3rd bases are empty, 13 --> Two players are on 1st and 3rd bases respectively, but 2nd base is empty)<br /> 17. runner_cnt: the number of players on bases<br /> 18. result_r: r by this play<br /> 19. result_rbi: rbi by this play<br /> 20. result_score_home: total home score after this play<br /> 21. result_score_away: total away score after this play</p> <p> </p> <p><strong>4. Winning rate data </strong></p> <p>- game_winrate.sql: winning rates of the home/away teams for an inning</p> <p>(This data is calculated based on the playbyplay data. For the details, please refer to our paper--currently under review)</p> <p>This MySQL table consists of the following 21 columns.</p> <p>1. play_no: Integer variable to identify each play<br /> 2. gid: Integer variable to identify each game<br /> 3. inning: inning of the play<br /> 4. away_win: probability that the away team will win this game<br /> 5. draw: probability that the game will finish a tie<br /> 6. home_win: probability that the home team will win this game</p> <p> </p> <p>If you have any question about the dataset, please contact Minsam Ko (msko@kaist.ac.kr).</p>
Online Education Hubs and Chat-based Text Messaging for Reducing Alcohol Consumption and Binge Drinking in Adolescents: A Pilot Randomized Controlled Trial
ClinicalTrials.gov study NCT07143565. IPD Sharing: YES. Countries: 1. Publications: 9.
An Online Evaluation of Work Chat
ClinicalTrials.gov study NCT05949086. IPD Sharing: NO. Countries: 1. Publications: 0.
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