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

Research paper

HOW TWITTER CAN BE USED AS A DATA SOURCE FOR ECONOMIC RESEARCH? CRITICAL REVIEW FROM THE SELECTED ECONOMIC STUDIES

TAGSMethodologies, Research Methodology, Statistics, Data Collection, Data Analysis, Content Analysis

SERVICESResearch Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

Copyright © 2019 Statswrok. All rights reserved

IN BRIEF Today online social media platforms such as Twitter, Facebook or YouTube shield a big share of the wideranging 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 appropriate software.

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 scientific literature.

Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

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CRITICAL REVIEW FROM THE SELECTED ECONOMIC STUDIES

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Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

A critical review on Using Twitter as a data source: an overview of social media research tools (2019) by Wasim Ahmed.

An influence on latest developments in digital methods, methodologies for researching Twitter and other social media platforms are presented.

An overview of the main trends in research methodology, specially how to use Twitter data efficiently in given a multitude of methodologies are 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 its language.

Things like disabling difficulty in accessing old data using something called “web-scraping” is more informative.

Contd..

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Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

AN OVERVIEW OF TOOLS FOR 2019

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Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

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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 and quantitative).

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 experimental design.

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 online world.

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 media users.

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OVERVIEW OF RESEARCH METHODS

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Research Planning | Data Collection | Semantic Annotation | Business Analytics | Bio Statistics | Econometrics

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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 data analysis.

While social media usage was documented using some elementary ranked questioning, the author has not mentioned the impact of a participants passed social media interactions.

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 this study.

LIMITATIONS OF THE STUDY

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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 is concerned.

Twitter is fetching an avenue for professionals to share their learning, ask questions, and develop a social network in their field of interest.

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 of ideas.

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 the field.

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