An Approach to News Event Detection and Tracking Based on Stream of Online News

Author(s):  
Yajie Qi ◽  
Li Zhou ◽  
Huayou Si ◽  
Jian Wan ◽  
Ting Jin
2021 ◽  
pp. 016555152110474
Author(s):  
Chun Chieh Chen ◽  
Hei-Chia Wang

Online news outlets have the power to influence public policy issues. To understand the opinions of the people, many government departments check online news outlets to manually detect events that interest people. This process is time-consuming. To promptly respond to public expectations, this research proposes a framework for detecting news events that may interest government departments. This article proposes a method for finding event trigger words used to represent an event. The news media can be a critical participant in ‘agenda-setting’, which means that more widely discussed news is more attractive and critical than news that is less discussed. However, few studies have considered the influence of news media publishers from the ‘agenda setting’ perspective. Therefore, this study proposes an ‘agenda setting’-based filter to establish a high-impact news event detection model. The proposed framework identifies trigger words and utilises word embedding to find news event–related words. After that, an event detection model is designed to determine the events that are attractive to government departments. The experimental results show that purity increases from 0.666 when no extraction method is used to 0.809 when the extraction method in this study is used. The overall improvement trend shows significant improvement in event detection performance.


Author(s):  
Chen Zhang ◽  
Hao Wang ◽  
Wei Wang ◽  
Cuixia Ma ◽  
Jingjing Li ◽  
...  
Keyword(s):  

2019 ◽  
Vol 87 (5) ◽  
pp. 2126-2164 ◽  
Author(s):  
Julia Cagé ◽  
Nicolas Hervé ◽  
Marie-Luce Viaud

Abstract News production requires investment, and competitors’ ability to appropriate a story may reduce a media’s incentives to provide original content. Yet, there is little legal protection of intellectual property rights in online news production, which raises the issue of the extent of copying online and the incentives to provide original content. In this article, we build a unique dataset combining all the online content produced by French news media during the year 2013 with new micro audience data. We develop a topic detection algorithm that identifies each news event, trace the timeline of each story, and study news propagation. We provide new evidence on online news production. First, we document high reactivity of online media: one quarter of the news stories are reproduced online in under 4 min. We show that this is accompanied by substantial copying, both at the extensive and at the intensive margins, which may constitute a severe threat to the commercial viability of the news media. Next, we estimate the returns to originality in online news production. Using article-level variations and media-level daily audience combined with article-level social media statistics, we find that original content producers tend to receive more viewers, thereby mitigating the newsgathering incentive problem raised by copying.


2008 ◽  
Vol 31 (14) ◽  
pp. 3124-3136 ◽  
Author(s):  
Kuei-Ping Shih ◽  
Sheng-Shih Wang ◽  
Hung-Chang Chen ◽  
Pao-Hwa Yang

2007 ◽  
Vol 3 (3-4) ◽  
pp. 251-266
Author(s):  
Giuseppe De Marco ◽  
Tao Yang ◽  
Makoto Ikeda ◽  
Leonard Barolli

In this paper, we study a particular application of wireless sensor networks for event-detection and tracking. In this kind of application, the transport of data is simplified, and guaranteeing a minimum number of packets at the monitoring node is the only constraint on the performance of the sensor network. This minimum number of packets is called event-reliability. Contrary to other studies on the subject, here we consider the behavior of such a network in presence of a realistic radio model, such as the shadowing of the radio signal. With this setting, we extend our previous analysis of the event-reliability approach for the transport of data. In particular, both regular and random networks are considered. The contribute of this work is to show via simulations that, in the presence of randomness or irregularities in the radio channel, the event-reliability can be jeopardized, that is the constraint on the minimum number of packets at the sink node could not be satisfied.


2018 ◽  
Vol 4 (1) ◽  
pp. 89
Author(s):  
Teti Kartika ◽  
Marwito Wihadi

This research presents an interpersonal meaning analysis of two online news concerning Ahok�s blasphemy case in the two online news portals. The two selected news coming from The Jakarta Post and Republika.co.id were analyzed to find out the mood types and to describe the underlying reason of the news from the differences of modality system. This descriptive qualitative research involved the analysis of mood and modality types of clauses identified. As results, it shows that the interpersonal meaning was applied. Yet, not all mood or modality types appeared in the two online news. There is only one mood and one modality type appeared, namely indicative which is declarative type and modalization which is probability type. Therefore, it can be concluded that both writers used the same mood and modality types in the online news of Ahok�s blasphemy case as well as their interpersonal meaning are determined by contextual factors such as the aims or needed in giving information about the news event of Ahok�s blasphemy case in Indonesia.Keywords: Interpersonal meaning, Ahok, blasphemy case, online news


2020 ◽  
pp. 107769902094034
Author(s):  
Veronika Karnowski ◽  
Dominik J. Leiner ◽  
Anna Sophie Kümpel ◽  
Larissa Leonhard

We investigated how sharing performance on Facebook and Twitter is influenced both by news articles’ content characteristics and the availability of additional news articles reporting on the same news topic. We conducted a multi-method study, integrating automated data collection and manual/automated content analyses of 1,764 German online news articles. Our findings show the influence of news factors and, more importantly, news outlets on sharing performance, while simultaneously highlighting differences between the logics of news sharing on Facebook and Twitter. We also find that the first article reporting on a news event is shared more often than subsequent articles.


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