The aim of this paper is to raise awareness on the consequences of dissemination of official statistics through online media that uses clickbait headlines to generate traffic.In order to tackle on this issue,a Natural...The aim of this paper is to raise awareness on the consequences of dissemination of official statistics through online media that uses clickbait headlines to generate traffic.In order to tackle on this issue,a Natural Language Processing(NLP)model was developed in order to distinguish the clickbait headline from the non-clickbait one when it comes to articles presenting information from the Bulgarian National Statistical Institute press releases.The yielded results are rather satisfactory as the parts-of-speech features model achieved an accuracy for 92%of the cases.展开更多
文摘The aim of this paper is to raise awareness on the consequences of dissemination of official statistics through online media that uses clickbait headlines to generate traffic.In order to tackle on this issue,a Natural Language Processing(NLP)model was developed in order to distinguish the clickbait headline from the non-clickbait one when it comes to articles presenting information from the Bulgarian National Statistical Institute press releases.The yielded results are rather satisfactory as the parts-of-speech features model achieved an accuracy for 92%of the cases.
