Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot
Küçük Resim Yok
Tarih
2021
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
University of Tehran
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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. © University of Tehran, Faculty of Management
Açıklama
Anahtar Kelimeler
Artificial Intelligence, Data Journalism, Natural Language Generation, Newspapers, Robot Journalism
Kaynak
Journal of Information Technology Management
WoS Q Değeri
Scopus Q Değeri
Q3
Cilt
12
