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The fundamental purpose of the study is to measure the effect of social media marketing on consumer involvement. Many organizations invest a massive amount of money in social media marketing, thus measuring the effect remains a challenge for most organizations. However, social media sites facilitate active communication between organizations and users. Therefore, the need arises to find out the factors, which is impact on consumer involvement. The method used for the data collection is through the questionnaires distributed to the particular sample size of around 150 to 200 people randomly. The analysis will be performed on SPSS using different techniques such as factor analysis to examine the relationship between variables used in the study. Based on the factors used in our study, there are several factors that have a significant impact on consumer involvement. The campaign used by organizations boosted consumer engagement and helped them to improve their sales and revenue. The findings revealed that content, media, and posts posted on a brand page of an organization had a substantial influence on consumer involvement. It also stated that the more the impact of social media marketing, the greater the level of consumer involvement. The research provides valuable insight into real-time consumer feedback facilitated by social media, enabled the understanding needs of the consumer and, improve consumer loyalty. [ABSTRACT FROM AUTHOR]

The purpose of this research is to provide a detailed and accurate in-depth comprehension of how sentiment analysis can be utilized to analyze customer mindset, emotions, behavior, and activities on social media platforms. This paper intends to start with a systematic literature review through the journals and studies published by technology-driven companies or academicians about how they plan to or are using sentiment analysis in gathering intelligence. How this intelligence is further used to innovate or improve their products and services. Progressing to highlighting how few FMCG companies that have analyzed open-source information or media and entertainment have found out that it is the primary influence on people to define their taste and preferences. Then using this knowledge came up with changes in the existing product lines or launch an altogether new product line to create value for consumers. Moving on to secondary qualitative research to understand what motivates consumers to use social media, what they individually use it for, and what they hope to achieve from it as well as in creating models and frameworks that help categorize customer sentiments. This paper analyses how individuals can find and decipher various consumer activities on social media, opinions through discussion forums, knowledge consumption and sharing through blogging, Wikipedia, and user-generated content, by taking the example of one such platform that has freely available customer opinions. This paper talked about the use of the latest technology such as analysis of natural language, monitoring pictures and videos, identifying the most used text or other patterns to identify pain points to help decipher such text, understand customer motifs, innovate, and better product design and packaging, opportunities, emerging trends to shift the market, segment potential customers, and track brand perception. This paper understands the benefits of social listening and tracking from major sources of influence for customers. How this leads to gathering data and analyzing customer conversations to benefit companies in the FMCG sector by identifying early signs of consumer needs. This paper also understands how traditional methods of social listening have changed with the increase in internet subscriptions and the amount of data stored and thus the need for better algorithms to sort through this bulk of data quickly and completely to maximize benefits. This paper help companies make decisions based on the scope of sentiment analysis in analyzing social media bulk of data and should it be a good investment to help increase core competencies. Such analysis includes how many times a particular word is mentioned, which words are frequently used together, how people feel towards brands and products by deciphering certain words and thus spot an emerging trend. [ABSTRACT FROM AUTHOR]

Emerging AI advancements will have a massive influence on the worlds of media and entertainment. While most people are focused on technologies such as Virtual Reality and Augmented Reality that are entertainment-related, the technical change of how media experiences are generated is perhaps more astounding. We speculate on how and where these technologies will have an impact on our lives. This research adopts Quantitative Method. A survey was done online taking a sample of 150+ participants. Also, a systematic review of research papers, articles related to consultation papers published by authors, second research on topics, ideas and analysis of industry experts. This article will examine some of the ways in which artificial intelligence (AI) influences the stories we consume about AI's application in media platforms. Now, the advent of Artificial Intelligence in the media and entertainment will change the way audiences interact with movies, TV shows, sports, games and videos and discover new ways to create and share content. AI, according to industry experts, will be the next stage of industrial revolution. [ABSTRACT FROM AUTHOR]

The world has experienced a digital transformation of epic proportions in the past few years. The prospects of the Internet of Things for improving efficiency, reducing cost, achieving data-oriented predictive maintenance, and enhancing quality have now been proven well by various studies. Since everything is going online, a lot of data is available at the disposal of organizations. Useful insights can be gleaned from these large data sets, which comprise real-time data from various devices with intelligent sensors, and seamless integration. Here is precisely where Smart Devices come into the picture. IoT and smart devices are critical enablers for higher customer satisfaction, energy efficiency, and personalization. IoT-enabled smart devices like intelligent wearables (fit-bit, iWatch), voice assistants (Google Home, Alexa), smart refrigerators, smart washing machines, etc., are becoming widespread, commercially available. People using these develop routines and become dependent on them. This entire ecosystem consisting of IoT, smart devices, technologies, and the internet is highly consumer-centric and eventually leads to satisfied and happy customers. Quantitative research involving the collection and analysis of data will be carried out. Primary data will be collected by floating a questionnaire. Data from Indians (age group 18-60) will be collected using a questionnaire. Using SPSS, the descriptive analysis would be carried out on the data collected to find the mean, standard deviation, correlation, etc. of the data. Technology Acceptance Model (TAM) is incorporated in the research to comprehend how receptive or averse are people when it comes to IoT-enabled smart devices. The model used comprises of a factor, namely Social Context Factor which includes the Social Influence construct, and technology factors which include the following constructs, Trust, Perceived Usefulness (PU), and Perceived Ease of Use (PEOU). TAM will help one understand a user's Behavioural Intention to use IoT-enabled smart devices. The paper would help one derive the impact of technical factors and social context factors on the acceptance of IoT-enabled smart devices. The paper tries to explore the various driving factors when it comes to an individual's willingness to use IoT-enabled smart devices from different prerogatives i.e. technology, and social context. The research paper successfully extends TAM to such acceptance. [ABSTRACT FROM AUTHOR]

The goal of this research paper is to use the Open-source intelligence approach and content analysis to analyze the fundamental aspects of nationally issued COVID-19 contact tracing apps and derive a theme from them. We conduct a qualitative examination of contemporary discourse on OSINT and SIGINT, as well as their impact on global health. A theme can be built around it, depending on how serious the situation is or assumed to be, by gathering input from everyday people working in various sectors, students, and patients who have tested positive for COVID, and creating a quantitative and qualitative study of current health data collection capabilities. This paper analyses how individuals can find and decipher various consumer activities on social media, opinions through discussion forums, knowledge consumption, and sharing through blogging, The challenges of efficiently deploying contact tracing systems are the same across countries. This needs a thorough assessment of the various approaches for supporting governments in identifying the most promising apps. Although several studies have looked into the factors that influence COVID-19 monitoring app acceptance, little study has been done on cross-country comparisons. Hence, by generating a hypothesis and testing it against nature, a similar investigation of the COVID-19 epidemic should be achievable, and it should study how such devices may be used in the location, announcement, and control of signs and symptoms associated with a 'risk' by the worldwide local area. [ABSTRACT FROM AUTHOR]

A social network is a social system made up of individuals or organizations that are linked by one or more types of duplication, such as relationships, shared interests, financial transactions, belief systems, data, or status. The purpose of this research is to study and analyze the cyber threats to online social networking sites, capture the history of online social networking websites, identify their styles, and discuss cyber-attacks collaboratively, provide ways to combat risks, and imagine the long-term dynamics of those websites. Researchers will analyze secondary research done by journals, systematic literature review of research papers, relevant documents, and consultation papers published by regulators. The researcher will be doing quantitative research to collect and analyze the data of 250 to 500 users of social media. The study analysis will look at the risks of privacy from various aspects of social networking and divide the work various categories: social and privacy graphs, profile and security credentials, confidentiality and geography, and promotional programs and privacy. The paper understands various issues in regards to consumer privacy concerns on social media. Social networking sites are not the only way to communicate with people all over the world or to travel with them, but they are one of the most successful ways to promote a business. The paper also covers the varieties of risks that can place social media users at risk of cyber protection. This paper contributes to our interpretation of social networks, as well as the secrecy of non-public data and the investigation of identities. The data leak, misconfiguration, account hijacking, and malicious insider attacks are among the most popular network security threats. [ABSTRACT FROM AUTHOR]