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Advancements and Innovation in Digital Marketing and SEO
Published in Abid Hussain, Garima Tyagi, Sheng-Lung Peng, IoT and AI Technologies for Sustainable Living, 2023
Anubha Jain, Chhavi Jain, Rahul G. Kargal, Salini Suresh
Web 3.0 depicts the third stage of website development. Its other names are Semantic Web, Intelligent Web, and Decentralized Web. This phase connects users to machines; it is about the deployment of Artificial Intelligence (AI) in web services. Web 3.0 tracks users’ browsing habits, collecting and disseminating information in a smarter way which goes hand in hand with the rapidly changing buying trends of consumers. It also includes elements such as linked data, smart search capabilities, AI, and cloud computing to make technologies more engaging and useful for users. It stores real-time detailed information of users, which gives better meaning, relevancy, and value to users and marketers. Smartphones with incredible speeds and cloud computing have also made web experience better than before. Static videos are outpaced by live streaming videos. Crunch of time has boosted microblogging. Popular sites for microblogging include Twitter, Jaiku, Plurk, etc. Trade shows are replaced by virtual reality world in a 3-D setting by Second Life and Funsites.
Tracking and Analyzing COVID-19 Pandemic Using Twitter and Topic Modelling
Published in Salah-ddine Krit, Vrijendra Singh, Mohamed Elhoseny, Yashbir Singh, Artificial Intelligence Applications in a Pandemic, 2022
Pradeep Gangwar, Yashbir Singh, Vrijendra Singh
With more than 300 million active monthly users, Twitter is one of the most popular microblogging sites across the world. On the other hand, Twitter is a microblogging service where users can broadcast short 140-character messages called tweets, which can be personal thoughts or opinions on public statements, places, persons, disasters, and other things. making it a useful tool for gathering information. Twitter has a presence in mostly all government departments, world leaders’ offices, organizations, actors, and so forth, who actively share news/articles/announcements with their followers. During COVID-19 we saw a huge inflow of tweets regarding the COVID-19 spread, where government bodies were actively seen spreading awareness, sending advisories, and daily statistics to reach the public.
Evolution of Web
Published in Akshi Kumar, Web Technology, 2018
Micro-blogging is the practice of posting small pieces of digital content—which could be text, pictures, links, short videos, or other media—on the Internet. Micro-blogging enables users to write brief messages, usually limited to less than 200 characters, and publish them via web browser-based services, email, or mobile phones. The most popular micro-blogging service today is called Twitter. Micro-blogging is also known as “mobile social-networking” or “themed Instant Messaging.” It creates a sense of online community where groups of friends and professional colleagues connect to each other, frequently update content, and follow each other’s posts. This is one of the best examples of subscription-based services where the subscribers must typically create accounts, which are linked with cell phones, e-mail accounts, instant messaging, web page, or any medium they will use to send updates in order to post a micro-blog or to read those posted by others.These posts might consist of short text snippets (maximum number of characters specified by the application), a photo, an audio clip, or a few seconds of video, any of which can be shared publicly or with a selected group of subscribers.The posting of micro-blogs has enjoyed a popular upsurge in the last few years with add-ons appearing regularly that enable more sophisticated updates and interaction with other applications.
Leveraging Twitter data to analyze the virality of Covid-19 tweets: a text mining approach
Published in Behaviour & Information Technology, 2023
Social media’s role as an information source has gained prominence, especially in the face of emergencies (Lin et al. 2016a; Martinez-Rojas, del Carmen Pardo-Ferreira, and Rubio-Romero 2018). Microblogging websites like Twitter provide functions such as creating and replying to posts, mentioning users, and retweeting options. The flexibility in resharing or retweeting the content has made Twitter the most preferred medium for information dissemination. Twitter tweets have a word limit of 280 characters (Isaac 2017) and can include URL links, user mentions, and hashtags. Therefore, the linguistic features of Tweets in this format could offer interesting insights into the retweeting behaviour of users, especially in the context of COVID-19. Lexical features of a tweet, like its length and content features, such as the usage of hashtags, user mentions, and the number of followers, could play a significant role in deciding the speed and spread of information content.
Polarised social media discourse during COVID-19 pandemic: evidence from YouTube
Published in Behaviour & Information Technology, 2023
Samrat Gupta, Gaurav Jain, Amit Anand Tiwari
Social media has changed how we consume, create or communicate any information. It represents a significant metamorphic impact of information technology on society (Aral, Dellarocus, and Godes 2013). In contrast to the traditional media communication that offers an asynchronous and unidirectional communication, social media offers a multi-directional and interactive communication that can be used to broadcast a message to numerous users (Grover et al. 2019). Central to social media is the idea of platforms that enables users to interact online (Kenney and Zysman 2016). The primary goal of social media platforms is to build a strong foundation of global connectivity among a broad user population to give a virtual pedestal where dialogues/points of view can be shared on various issues (Qureshi et al. 2020). More individuals are joining various social media platforms and forming virtual communities in specific interest domains for self-expression, social interaction and information exchange (Grover et al. 2019). Besides expanding the scope of content creation and consumption, these social media platforms drive higher user engagement by introducing algorithmic bias to populate user’s feed based on the user’s search history, interaction with other users, and time spent on different topics (Eslami et al. 2015). Various social media platforms use persuasive algorithms to wield user influence (Stibe 2015). Persuasive algorithms are based on the idea of changing individual’s attitude, behaviour or socio-psychological beliefs (Stibe 2015). Few examples of how the social media platforms use persuasive algorithms are as follows: YouTube’s algorithm prioritises videos with a greater overall watch time over the number of clicks received (Bessi et al. 2016). It uses algorithms based on the recommendation and ranking systems (Zhou et al. 2010). A ranking-based algorithm assesses how well a video is performing according to several performance metrics such as the watch time, likes, dislikes, number of clicks and comments, as well as content creators’ upload schedules. Users are profiled using a recommendation algorithm based on their content consumption history, interactions with a content creator’s channel and genre preferences. Therefore, users within a certain profile are suggested videos that are watched by users of a similar profile (Toderici et al. 2010).Facebook’s persuasive algorithm analyses user behaviour based on multiple input parameters that consider user preferences such as time spent on a particular page, comments and like feature on pages and reaction feature with different weightages (Kaur et al. 2019).Twitter is a micro-blogging social networking platform that allows users to post a maximum of 140-character message commonly known as a tweet. It also uses a technique based on persuasive algorithm (Young 2010). As the platform characteristics differ, it depends on retweets and mentions of users in the tweets to analyse user behaviour and preferences.