How Twitter can be used as a data source for Economic Research: Critical Review from the Selected Economic Studies

1. Researchpaper HOW TWITTER CAN BE USED AS A DATA SOURCE FOR ECONOMICRESEARCH? CRITICAL REVIEW FROM THE SELECTED ECONOMICSTUDIES TAGS- Methodologies, Research Methodology, Statistics, Data Collection, Data Analysis, ContentAnalysis SERVICES- Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics |Econometrics Copyright © 2019 Statswrok. All rightsreserved

2. INBRIEF Today online social media platforms such as Twitter, Facebook or YouTube shield a big share of the wide- ranging digital communication. Different software tools allow the assemble of information about users and the collection of data about their communication behavior. Mainly, the microblog Twitter provides manifold opportunities in data analysis to its functionality and the availability of appropriatesoftware. In spite of these chances and a wide range of studies about the use of Twitter for different disciplines, the analysis of Twitter data and its contextualization within the scope of Foresight projects is hardly discussed in scientificliterature. Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics Copyright © 2019 Statswrok. All rightsreserved

3. CRITICAL REVIEWFROM THE SELECTED ECONOMICSTUDIES Copyright © 2019 Statswrok. All rightsreserved Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

4. A critical review on Using Twitter as a data source: an overview of social media research tools (2019) by WasimAhmed. An influence on latest developments in digital methods, methodologies for researching Twitter and other social media platforms arepresented. An overview of the main trends in research methodology, specially how to use Twitter data efficiently in given a multitude of methodologiesare presented. Along with the list of various methods for coding and examining social media data, an extensive listing of the tools needed to pull preferred data from social media accounts are offered – all of which seems a little scheming for some reason in itslanguage. Things like disabling difficulty in accessing old data using something called “web-scraping” is moreinformative. Contd.. Copyright © 2019 Statswrok. All rightsreserved Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

5. AN OVERVIEWOF TOOLS FOR2019 Contd.. Copyright © 2019 Statswrok. All rightsreserved Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

6. Copyright © 2019 Statswrok. All rightsreserved The introductory paragraphs of the reading contains a lot of research methodology – looking at the research question in more detail, the subjects, determining factors of influence, methodological approach, statistics together. The study used a mix of methodological data collection(qualitative andquantitative). Insertion of standard deviation and mean values began to hold more consequence; reliability scale values; open-ended, labeled and coded qualitative data – all of which was made more comprehensible having looked at the Ahmed article which gave an indication of thematic analysis, with the quantitative being of experimentaldesign. There are also a number of research methods that author mentioned, such as Netnography and Digital Ethnography, which deliver frameworks for directing research in the onlineworld. Netnography, for example, can be based on downloading data straight from a social media platform, perceiving personal observations of an online community, and interviewing social mediausers. Contd.. Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

7. OVERVIEW OF RESEARCH METHODS Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

8. Copyright © 2019 Statswrok. All rightsreserved In searching the role of the participants explored in this study, the author would have assumed of how personal history may have played an important role in consequences of the dataanalysis. LIMITATIONS OF THE STUDY While social media usage was documented using some elementary ranked questioning, the author has not mentioned the impact of a participants passed social mediainteractions. Contemplate on how a participant’s associations and reactions might be transformed if they had practiced cyber-bullying or had any other important negative interaction on social media in the years prior to being part of thisstudy. Contd. Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

9. CONCLUSION In teacher education, uses of social media include the production and sharing of content, discussion, and interaction with content analysis, and collaborative connection with other social media users” (Forbes,2017). Users are fortified to use social media to comprehend and communicate ideas which encourages openness by making research and possessions available to anybody who isconcerned. Twitter is fetching an avenue for professionals to share their learning, ask questions, and develop a social network in their field ofinterest. Twitter has a particular benefit because of the way that the podium is set up for academic purposes and it remains the most widespread platform for academic research. As divergent to Instagram, Facebook, and Snapchat – where they are keen towards people sharing their own personal experiences, instead ofideas. Dr. Valerie Irvine’s presence on Twitter as not only bonds information and research connected to what we are discussing in class, but also involving us to other people to progress our Personal Learning Network, and engaging in conversation with peers in thefield. Copyright © 2019 Statswrok. All rightsreserved Research Planning | DataCollection | Semantic Annotation | Business Analytics | BioStatistics |Econometrics

10. Copyright © 2019 Statswrok. All rightsreserved GET INTOUCH WITHUS CONTACT US Freelancer Email Address info@statswork.com Consultant Phone Number INDIA:+91-4448137070 UK:+44-1143520021 Guest BlogEditor Email Address hr@workfoster.com Copyright © 2019 Statswork. All rightsreserved Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics |Econometrics