Reading between the lines: untwining online user-generated content using sentiment analysis

Mobile Information Systems

2022

In the current society, the Internet of Things technology is gradually developing, among which there is blockchain technology. At present, it is also in a stage of steady development. After the information revolution, it is gradually entering the era of take-off, which is also the third project of the revolution. Blockchain technology is a general technology of digital currency. In this article, the comparison is made mainly from the perspectives of the safety factor of the fusion media platform, the efficiency of screening, the proportion of the quality of user-published content, and the credibility of user-generated content. This article uses the calculation method of the Merkle tree. The comparison found that the safety factor has increased by 22%, the screening efficiency has increased by about 10%, and the pros and cons of the creation of works have been significantly improved after the use of blockchain technology, at about 23%. The authenticity of the content on the converged media platform increased by 26%.

Section: Security Management Strategymentioning

confidence: 99%

Security Control Strategy of Converged Media Platform UGC Based on Blockchain Technology

Mobile Information Systems

2022

“…Emotions with brands can be reflected by positive and negative attitudes ( Ajzen, 2001 ; Suh and Youjae, 2006 ; Gosling and Mason, 2015 ; Florack et al, 2021 ). Therefore, consumers’ attitude towards the brand could well measure the strength or depth of the relationship between them ( García-de-Frutos and Estrella-Ramón, 2021 ; Rasool and Pathania, 2021 ; Zhou and Xue, 2021 ).…”

Section: Literaturementioning

confidence: 99%

“…Unlike offline settings where marketers displays products through physical presentation, and customers can directly perceive the value of products by virtue of their sensory organs, e-commerce practitioners use pictures to display products, and customers perceive product value through product pictures and text descriptions ( Matosas-López and Romero-Ania, 2021 ; Souki et al, 2021 ). Because pictures and text descriptions can be modified, customers cannot directly perceive through the sensory system, and the product value of e-commerce can only be perceived by customers’ subjective feelings ( Lopez and Garza, 2021 ; Rasool and Pathania, 2021 ). Therefore, traditional logic on the communication of product characteristics and price might be revised, and the new logic should be contingent upon the type of online platforms, given that live streaming demonstrates many unique features compared to traditional online forums.…”

Section: Literaturementioning

confidence: 99%

Does platform type matter? A semantic analysis of user attitude formation on online platforms

Zhan

et al. 2022

Front. Psychol.

An online platform is a setting where users may express their attitude in text or visual content. The doctrine thinking in consumer psychology is that greater perceived product value (e.g., more product features or lower price) gives more positive consumer attitude. Because of different types of platforms, however, online users might form their product/brand attitudes in different ways. We gathered 7,264 lines of online reviews about two famous brands on two types of social media platforms: online text-based forums and live-streaming platforms. The data were collected through a web crawler, and semantic analysis was employed to process the data before hypothesis testing. The findings of this study indicate that users’ perception of product features, price levels and brand culture significantly influence user attitude. The more product characteristics communicated on online platforms, the more difficult to formulate a positive user attitude, and users tend to have more positive attitude with higher perceived price. Compared with traditional text-based platforms, contents in live-streaming platforms (e.g., Tik Tok) with less product features, wider culture distance and lower perceived price are favored among users.

“…Such messages can take the form of advertising messages (Fransen et al , 2015), innovation ideas (Li et al , 2016) and online review messages (Karimi and Wang, 2017). Online reviews, as a form of electronic word-of-mouth communication and user-generated content (Rasool and Pathania, 2021), serve as valuable messages that affect individuals’ choices and decision-making processes (Cheung and Thadani, 2012; Zhang et al , 2021). In various contexts, studies have investigated the impact of online reviews on consumption decisions, such as consumers’ adoption intentions (Wu et al , 2021), customer engagement (Mostafa, 2021) and purchase intentions (Tata et al , 2020).…”

Section: Literature Review and Hypothesis Developmentmentioning

confidence: 99%

The effects of online reviews on the popularity of user-generated design ideas within the Lego community

Lin

Chenyue

et al. 2022

EJM

Purpose This study aims to explore how online reviews and users’ social network centrality interact to influence idea popularity in open innovation communities (OICs). Design/methodology/approach This study used Python to obtain data from the LEGO Innovation Community. In total, 285,849 reviews across 4,475 user designs between March 2019 and March 2021 were extracted to test this study’s hypotheses. Findings The ordinary least square regression analysis results show that review volume, review valence, review variance and review length all positively influence idea popularity. In addition, users’ in-degree centrality positively interacts with review valence, review variance and review length to influence idea popularity, while their out-degree centrality negatively interacts with such effects. Research limitations/implications Drawing on the interactive marketing perspective, this study employs a large sample from the LEGO community and examines user design and idea popularity from a community member’s point of view. Moreover, this study is the first to confirm the role of online reviews and user network centrality in influencing idea popularity in OICs from a social network perspective. Furthermore, by integrating social network analysis and persuasion theories, this study confirms the interaction effects of review characteristics and users’ social network centrality on idea popularity. Practical implications This study’s results highlight that users should actively interact and share with reviewers their professional product design knowledge and/or the journey of their design to improve the volume of reviews on their user designs. Moreover, users could also draw more attention from other users by actively responding to heterogeneous reviews. In addition, users should be cautious with the number of people they follow and ensure that they improve their in-degree rather than out-degree centrality in their social networks. Originality/value This study integrates social network analysis and persuasion theories to explore the effects of online reviews and users’ centrality on idea popularity in OICs, a vital research issue that has been overlooked.