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Tosyalı, Hikmet, Aytekin, Çiğdem. (1399). Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot. , 12(Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications.), 68-88. doi: 10.22059/jitm.2020.79335
Hikmet Tosyalı; Çiğdem Aytekin. "Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot". , 12, Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications., 1399, 68-88. doi: 10.22059/jitm.2020.79335
Tosyalı, Hikmet, Aytekin, Çiğdem. (1399). 'Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot', , 12(Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications.), pp. 68-88. doi: 10.22059/jitm.2020.79335
Tosyalı, Hikmet, Aytekin, Çiğdem. Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot. , 1399; 12(Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications.): 68-88. doi: 10.22059/jitm.2020.79335

Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot

Journal of Information Technology Management
دوره 12، Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications.، 2020، صفحه 68-88    اصل مقاله (1.13 M)
نوع مقاله: Special Issue: The Importance of Human Computer Interaction: Challenges, Methods and Applications
شناسه دیجیتال (DOI): 10.22059/jitm.2020.79335
نویسندگان
Hikmet Tosyalı* 1؛ Çiğdem Aytekin2
1Assistant Professor, Faculty of Communication, Maltepe University, Istanbul, Turkey.
2Associate Professor, Faculty of Communication, Marmara University, Istanbul, Turkey.
چکیده
Today, news texts can be created automatically and presented to readers without human participation through technologies and methods such as big data, deep learning, and natural language generation. With this research, we have developed an application that can contribute to the literature regarding The Studies on Robot Journalism Applications with a technology-reductionist perspective. Robot journalism application named Robottan Al Haberi (the English equivalent of the application name is “get the news from the robot”) produces news text by placing weather, exchange rates, and earthquake data in certain templates. The news texts, which are produced by placing the data in appropriate spaces on the template and with a maximum length of 280 characters, are automatically shared via the Twitter account @robottanalhaber. The weather information is shared once a day, the exchange rate information is shared three times a day, and the earthquake information is shared instantly. Here, we aim to produce automatic and short news by using the available structured data by placing them in specific news templates suggesting different options or a combination of them for different situations.
کلیدواژه‌ها
Natural language generation؛ Artificial intelligence؛ Robot journalism؛ Data journalism؛ Newspapers
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