In this paper, the researcher identifies the social media trends from the number of paper within scope, analyzing their content in order to synthesize from the variation of researches and determines the gap making this review a potential contributor for future researches. Included in this paper the most commonly used information sites which manifest convergent features.
Social media is a platform to share information that is very liked by everyone nowadays because some of the facilities that make it easier for us to communicate with each other, share documents, chat and even create a community. A data mining approach is used to determine the trends in social media as information in getting type of information; information sharing; and trends of social media used by different organizations. The results show that one's motivation in sharing information tends to be consistent for each type of information that is to share the impression of social media users on a matter.
Social media connect different races and making distant communication reachable in a shortest period of time. It has been trends already around the world to maximize the utilization of social media through variety of information sites. It is a very useful vehicle to gather data addressing the need of the internet citizens (netizens) in this contemporary era. with motivating features, essentialities and importance, there is a growing number of users interacting with online social networks.
The emerge of different sites making the social media continuously increasing its potential, to provide useful geographic information to either replace or augment traditional methods of data collection has been recognized for some years. It is not only data collection but sharing of information of the same interest which reveals the active interaction regardless of age. However, the increase of interaction poses a challenge to identify whether the trending media content is real or reflects the claimed description (Hossain et al., 2019).Generally, social media is an active source of information seeking wherein users mest be tactful in determining the facts. With the help of some invented applications to determine and prevent malicious spam, statistical analysis of language is done to detect spam trending topics.
Table of Contents
- Abstract
- Introduction
- Literature Review
- Methodology
- Data/Results
- Sharing Information
- Trends of Social Media Used
- Discussions
- Future Research Directions and Limitations
- Conclusions
- REFERENCES
Objectives and Key Themes
This research paper aims to identify social media trends in information sharing and usage across different organizations. It employs a data mining approach to analyze the types of information shared, the motivations behind sharing, and the prevalent social media platforms used. The study synthesizes findings from existing research to identify gaps and contribute to future research in this area.
- Trends in social media information sharing.
- Motivations behind information sharing on social media.
- Popular social media platforms and their usage patterns.
- The relationship between information sharing and knowledge management.
- The potential of data mining for analyzing social media trends.
Chapter Summaries
Introduction: This chapter introduces the pervasive role of social media in modern communication, highlighting its capacity for rapid information dissemination and data collection. It emphasizes the increasing number of users and the challenge of verifying the authenticity of trending content. The chapter sets the stage for the research by outlining the need to analyze social media trends and identify commonly used information sites.
Literature Review: This section explores the evolution of social media, tracing its development from early platforms like MySpace and Facebook to its current prominence. It discusses the concerns surrounding user privacy and data mining, as well as motivational research on information sharing. The review highlights the potential of data mining in social media analysis for various applications, including marketing and decision-making. The chapter also touches upon the different forms in which social media data appears and the discipline of social media mining. It concludes by summarizing various academic findings which contextualize the researcher’s own project.
Methodology: This chapter details the research methodology, explaining the use of a data mining approach to analyze social media trends related to information acquisition, sharing, and platform usage across different organizations. The chapter outlines how previous reviews on social media trends are used in the current work to provide an analysis of social media trends and patterns. It highlights how commonalities and alternative trends were identified and the most frequently used platforms determined.
Data/Results: This section presents the findings of the research. The section on information sharing highlights the strong connection between information sharing and knowledge sharing within organizations. The research explains how users search for information, compare answers, and share information. This section also emphasizes the novelty of the research in measuring interactions between different social networks. While the specific data and tables are omitted here for brevity, the chapter’s main focus is on summarizing how the information sharing process is carried out on social networks.
Keywords
Social media, information sharing, organizations, data mining, social media trends, knowledge management, user motivation, online communication, privacy concerns.
Frequently Asked Questions: Comprehensive Language Preview
What is the purpose of this research paper?
This research paper aims to identify social media trends in information sharing and usage across different organizations. It uses a data mining approach to analyze the types of information shared, the motivations behind sharing, and the prevalent social media platforms used. The study also synthesizes findings from existing research to identify gaps and contribute to future research.
What are the key themes explored in the paper?
The key themes include trends in social media information sharing, motivations behind information sharing, popular social media platforms and their usage patterns, the relationship between information sharing and knowledge management, and the potential of data mining for analyzing social media trends.
What methodology was used in this research?
The research employed a data mining approach to analyze social media trends related to information acquisition, sharing, and platform usage across different organizations. The study built upon previous reviews of social media trends to identify commonalities and alternative trends, as well as the most frequently used platforms.
What are the main findings regarding information sharing?
The findings highlight a strong connection between information sharing and knowledge sharing within organizations. The research explores how users search for information, compare answers, and share information, emphasizing the novelty of measuring interactions between different social networks. The specific data and tables are omitted for brevity, but the chapter summarizes the information-sharing process on social networks.
What is covered in the Literature Review chapter?
The Literature Review explores the evolution of social media, concerns surrounding user privacy and data mining, motivational research on information sharing, and the potential of data mining in social media analysis. It discusses different forms of social media data and the discipline of social media mining, summarizing academic findings to contextualize the research project.
What does the Introduction chapter cover?
The Introduction chapter establishes the context by discussing the pervasive role of social media in modern communication, its capacity for rapid information dissemination and data collection, the increasing number of users, and the challenge of verifying information authenticity. It outlines the need to analyze social media trends and identify commonly used information sites.
What are the key words associated with this research?
The key words are: Social media, information sharing, organizations, data mining, social media trends, knowledge management, user motivation, online communication, privacy concerns.
What topics are included in the Table of Contents?
The Table of Contents includes: Abstract, Introduction, Literature Review, Methodology, Data/Results (with sub-sections on Sharing Information and Trends of Social Media Used), Discussions, Future Research Directions and Limitations, Conclusions, and REFERENCES.
- Quote paper
- Louie Sanlad (Author), 2020, Roles of Social Media on Information Sites, Munich, GRIN Verlag, https://www.grin.com/document/516534
