An Effective Identification Technology for Online News Comment Spammers in Internet Media

Si, Huayou; Sun, Wen; Zhang, Jilin; Wan, Jian; Xiong, Naixue; Zhou, L.; Ren, Yongjian

doi:10.1109/access.2019.2900474

Cited by 4 publications

(4 citation statements)

References 44 publications

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“…Si et al [16] introduced a new label propagation algorithm (LPA) identification technology for online news comment spammers. e LPA is mainly used here to identify users' behaviors over comments and replays.…”

Section: Related Workmentioning

confidence: 99%

Research on Data News Propagation Path Based on the Big Data Algorithm

Hao

Liu

Wang

2022

International Transactions on Electrical Energy Systems

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News propagation originates from a person/location, dwelling with an event that grabs significance. News data propagation relies on telecommunication and big data for precise content distribution and mitigation of false news. Considering these factors, the event-dependent data propagation technique (EDPT) was introduced to improve the data precision. These data refer to the news information originating and propagating from digital media. The data analysis considers the external factors for fake information and precise projection medium for preventing multiviewed false circulations. In this technique, the liability of the information is analyzed using a linear pattern support vector classifier. The data modification and propagation changes are classified based on liability information across the circulation time. The SVM classifier identifies these two factors with close liability validation, preventing false data. The data accumulation and analysis rates for the abovementioned classifications are performed in the propagation process using the classifier hyperplane. This plane is updated from the previous propagation point from which the events are identified. The proposed technique’s performance is analyzed using propagation accuracy, precision, false rate, time, and rate.

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Section: Related Workmentioning

confidence: 99%

Research on Data News Propagation Path Based on the Big Data Algorithm

Hao

Liu

Wang

2022

International Transactions on Electrical Energy Systems

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“…Semi-structured data represented by HTML, XML tags are extracted by Object Exchange Model (OEM) and XML tags, email contents are derived under top-down extraction method during real-time applications running time [17]. A specific language is used to retrieve the facts from the data repository is Web Data Extraction languages [18].…”

Section: Denotes the Approaches Used In Web Miningmentioning

confidence: 99%

“…Si et al [18] proposed a method to find the large number of spammers who release the wrong data from the network and phishing websites. Spammers are used to removing pornographic contents and unwanted speech from the whole database warehouse.…”

Section: Literature Surveymentioning

confidence: 99%

Web Information Extraction methods using Web Content Mining (WCM) for Webapplications

Raghavendra¹,

Niranjanamurthy²

2022

IJCDS

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In the digital world era, data was generated by humans and machines are huge in volume and have been accessed through websites on the internet platform. Most of the transactions happened on web product items, web news, and web advertisements. Web Information Extraction (WIE) is the technique where the information on websites is extracted accurately within a time using Web Content Mining (WCM) concept. Every second, new data has been generated in different locations and the contents of the websites have changed rapidly at various intervals during processing time. The live time and location of the data have changed each time when internet users processing web applications. So extracting the information from the web page or website is a challenging one with accuracy and latency on websites. Classic algorithms and data mining techniques are used to preprocess the generated data with a certain time but the validity of those has not been maintained on the web server. Perhaps, their special features have taken for doing extraction using web mining techniques. The recently advanced concepts such as Deep Learning with Recurrent Neural Networks (RNN) are used to perform Web Information Extraction on various websites over the large network by keeping hold of the data status at each second in memory while doing the processing. The technique Long Short-Term Memory (LSTM) is used to hold the status in intermediate memory then all generated data in web applications send this status to RNN for further classifications. Classification methods are used in Artificial Neural Networks (ANN), it would train the input data from the large network and segregate them based on the algorithms used by the user. Finally, the deep learning concept is combined with all recent trends with input models as an embedded layer. Social media information is up-to-date with its originality and validity also keeps track fully in larger networks by using this technique. This paper suggested the best methods to implement the web information extraction concepts in web content mining from different websites on larger clusters/networks using deep learning LSTM techniques.

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“…After the network is restored, the response between the cooperative users is normal, and the cooperative information of the network congestion may be transmitted to the different cooperative computers or lost. The result may be inconsistent owing to the lag of the response, resulting in inconsistent computer collaboration among the collaborative users [38].…”

Section: Some Problems Of Graphics Collaborative Editingmentioning

confidence: 99%

Design and analysis of an effective graphics collaborative editing system

Peng

et al. 2019

J Image Video Proc.

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With the rapid development of computer-supported cooperative work (CSCW) technology, graphical collaborative editing plays an increasingly important role in CSCW. The most important technique in graphics co-editing is the consistency of graphics co-editing, which mainly includes causality consistency, consistency of results, and consistency of intention. Most of the previous research was abstract and ineffective, lacking theoretical depth and scalability. However, because the algorithm proposed in this paper can solve the contradictions in the consistency of graphical collaborative editing, the research in this paper has particularity, and the results will be proven by the experiment described in the paper. In order to solve the consistency conflict problem of graphic collaborative editing, the common graphics collaborative editing algorithm (CGCE algorithm) is proposed. It is proposed not only to perfect and expand the definition of graphics collaborative editing but also to merge with HTML5 Canvas, WebSocket, jQuery, Node.js and other network programming languages and technologies. The graphic collaborative editing based on the design and implementation of this paper can effectively solve the consistency conflict problem of many users during the collaborative editing of graphics, which ensures that the graphics of each graphical collaborative editing interface is consistent and the collaborative work can achieve the desired effect.

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An Effective Identification Technology for Online News Comment Spammers in Internet Media

Cited by 4 publications

References 44 publications

Research on Data News Propagation Path Based on the Big Data Algorithm

Research on Data News Propagation Path Based on the Big Data Algorithm

Web Information Extraction methods using Web Content Mining (WCM) for Webapplications

Design and analysis of an effective graphics collaborative editing system

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