Twitter users exhibited coping behaviours during the COVID-19 lockdown: an analysis of tweets using mixed methods

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruchi Mittal ◽  
Wasim Ahmed ◽  
Amit Mittal ◽  
Ishan Aggarwal
Keyword(s):  
Data Analysis ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Twitter Data ◽  
Long Run ◽  
The World ◽  
Twitter Users ◽  
The Government ◽  
Using Data

Purpose Using data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related lockdown in different parts of the world. Design/methodology/approach This study follows the quasi-inductive approach which allows the development of pre-categories from other theories before the sampling and coding processes begin, for use in those processes. Data was extracted using relevant keywords from Twitter, and a sample was drawn from the Twitter data set to ensure the data is more manageable from a qualitative research standpoint and that meaningful interpretations can be drawn from the data analysis results. The data analysis is discussed in two parts: extraction and classification of data from Twitter using automated sentiment analysis; and qualitative data analysis of a smaller Twitter data sample. Findings This study found that during the lockdown the majority of users on Twitter shared positive opinions towards the lockdown. The results also found that people are keeping themselves engaged and entertained. Governments around the world have also gained support from Twitter users. This is despite the hardships being faced by citizens. The authors also found a number of users expressing negative sentiments. The results also found that several users on Twitter were fence-sitters and their opinions and emotions could swing either way depending on how the pandemic progresses and what action is taken by governments around the world. Research limitations/implications The authors add to the body of literature that has examined Twitter discussions around H1N1 using in-depth qualitative methods and conspiracy theories around COVID-19. In the long run, the government can help citizens develop routines that help the community adapt to a new dangerous environment – this has very effectively been shown in the context of wildfires in the context of disaster management. In the context of this research, the dominance of the positive themes within tweets is promising for policymakers and governments around the world. However, sentiments may wish to be monitored going forward as large-spikes in negative sentiment may highlight lockdown-fatigue. Social implications The psychology of humans during a pandemic can have a profound impact on how COVID-19 shapes up, and this shall also include how people behave with other people and with the larger environment. Lockdowns are the opposite of what societies strive to achieve, i.e. socializing. Originality/value This study is based on original Twitter data collected during the initial days of the COVID-19-induced lockdown. The topic of “lockdowns” and the “COVID-19” pandemic have not been studied together thus far. This study is highly topical.

scholarly journals Determinants of Overall Public Trust in Local Government: Meditation of Government Response to COVID-19 in Indonesian Context

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dadang Hartanto ◽  
Siti Masliana Siregar
Keyword(s):  
Local Government ◽  
Local Governments ◽  
Good Governance ◽  
Public Trust ◽  
Partial Least Square ◽  
The Body ◽  
Data Set ◽  
Content Type ◽  
Government Response ◽  
The Government

Purpose This study aims to empirically investigate the relationship of perceived transparency, perceived accountability and perceived responsiveness with overall public trust in local government. Moreover, it addressed the “why” and “how” questions about the existence of this relationship by examining the underlying mechanism of the government response to COVID-19. Design/methodology/approach Quantitative research design is applied in the current study. Data was collected from two cities situated in Indonesia via a cross-sectional survey at local administration levels. The final data set of 330 respondents was then analyzed using Smart partial least square (PLS)3 by testing through the measurement and structural model. Findings Results revealed positive associations among the study variables. Also, the mediatory role of the government response to COVID-19 was supported by the results. Originality/value This study aims to bring awareness and contribution in the body of knowledge about the importance of elements of good governance in building and sustaining public trust in local governments based on the fact that in countries such as Indonesia, there is a dearth of literature in this context. Further, it provides strategic and practical suggestions to the state regarding the advantages of using good governance practices in their communication with citizens in certain and uncertain situations, especially nowadays during the COVID-19 pandemic.

scholarly journals Manajemen Stres Menghadapi Covid-19 Dalam Pendidikan Islam

2021 ◽  
Vol 5 (1) ◽  
pp. 51-70
Author(s):  
Iin Setyani
Keyword(s):  
Data Analysis ◽  
Stress Management ◽  
Islamic Education ◽  
Research Approach ◽  
Related Literature ◽  
Analysis Techniques ◽  
The World ◽  
The Government ◽  
Using Data ◽  
Almost All

The corona covid-19 virus phenomenon is very shocking the world. Almost all people in the world experience uncertainty and many receive information from social media whose truth is uncertain. This has unwittingly caused panic for some people. The number of hoax news that caused panic and the appeal for social distancing by the government without any proper counseling to the community, which resulted in panic. Not only this it also affects the mental health of a person to unwittingly cause stress. The purpose of this study is to find out how to manage stress in dealing with covid-19 in the perspective of Islamic education. The research approach used is a form of research obtained from the literature in the field of Islamic education and stress management. Data collection techniques by searching related literature both online and offline. Data analysis techniques using data analysis techniques from related literature. The results of research conducted are stress management to deal with covid-19 in Islamic education is to think positively, avoid hoax news, avoid excessive panic, pray and worship Allah, and always pray to Allah.

Risk-based capital regulation revisited: evidence from the early 2000s

2015 ◽  
Vol 23 (2) ◽  
pp. 115-134 ◽  
Author(s):  
Thomas L. Hogan ◽  
Neil R. Meredith ◽  
Xuhao (Harry) Pan
Keyword(s):  
Design Methodology ◽  
Banking Regulation ◽  
Bank Performance ◽  
Capital Regulation ◽  
Data Set ◽  
Content Type ◽  
Future Performance ◽  
Capital Ratios ◽  
Using Data ◽  
Capital Regulations

Purpose – The purpose of this study is to replicate Avery and Berger’s (1991) analysis using data from 2001 through 2011. Although risk-based capital (RBC) regulation is a key component of US banking regulation, empirical evidence of the effectiveness of these regulations has been mixed. Among the first studies of RBC regulation, Avery and Berger (1991) provide evidence from data on US banks that new RBC regulations outperformed old capital regulations from 1982 through 1989. Design/methodology/approach – Using data from the Federal Reserve’s Call Reports, the authors compare banks’ capital ratios and RBC ratios to five measures of bank performance: income, standard deviation of income, non-performing loans, loan charge-offs and probability of failure. Findings – Consistent with Avery and Berger (1991), the authors find banks’ risk-weighted assets to be significant predictors of their future performance and that RBC ratios outperform regular capital ratios as predictors of risk. Originality/value – The study improves on Avery and Berger (1991) by using an updated data set from 2001 through 2011. The authors also discuss some potential limitations of this method of analysis.

Heterogeneous effect of oil production on environmental degradation: panel evidence from OPEC member countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Aliyu Danmaraya ◽  
Aminu Hassan Jakada ◽  
Suraya Mahmood ◽  
Bello Alhaji Ibrahim ◽  
Ahmad Umar Ali
Keyword(s):  
Renewable Energy ◽  
Environmental Degradation ◽  
Environmental Quality ◽  
Oil Production ◽  
The Body ◽  
Energy Sources ◽  
Asymmetric Effect ◽  
Content Type ◽  
Long Run ◽  
Opec Member

Purpose The purpose of this paper is to look at the asymmetric effect of oil production on environmental degradation in OPEC member countries from 1970–2019. Design/methodology/approach The authors build a nonlinear panel ARDL–PMG model using the Shin et al. (2014) nonlinear autoregressive distributed lag (ARDL) approach in panel form to assess both the short- and long-run impact of positive and negative oil production movements on CO2 emissions. Findings The result demonstrates that the variables are cointegrated. According to the linear long run coefficients, oil production, FDI inflows and economic growth both have a positive and significant relationship with CO2 emissions, implying that they deteriorate environmental quality in OPEC countries, while renewable energy has a negative relationship with CO2, implying that increasing renewable energy improves environmental quality. The asymmetric findings prove that positive and negative shocks of oil production exert a positive effect on carbon emissions in short run and long run. Research limitations/implications To begin with, the empirical assessments do not include all OPEC member nations; researchers are advised to resolve this constraint by looking at the economies of other OPEC members. Albeit the lack of data for other energy sources may serve as another constraint of this research, future research is expected to broaden the current framework via other energy sources such as nuclear, electricity, biomass, solar as well as wind. Originality/value The research adds to the body of knowledge as many of the prevailing studies in the literature failed to look at the asymmetric effect of oil production on the quality of environment. This is another gap in the literature that the current study is set out to fill. This study adds oil production as an explanatory variable and helps to extend the existing literature for OPEC countries, which could propose a solution to deal with ensuing environmental issues.

Perceived effectiveness of e-governance as an underlying mechanism between good governance and public trust: a case of Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dadang Hartanto ◽  
Juhriyansyah Dalle ◽  
A. Akrim ◽  
Hastin Umi Anisah
Keyword(s):  
Local Governments ◽  
Good Governance ◽  
Underlying Mechanism ◽  
Public Trust ◽  
The Body ◽  
Perceived Effectiveness ◽  
Content Type ◽  
Body Of Knowledge ◽  
Governance Effectiveness ◽  
The Government

Purpose This study aims to investigate the association of perceived accountability, perceived responsiveness and perceived transparency, and public trust in local government. Additionally, mediation of the perceived effectiveness of e-governance was also tested between these relationships. Design/methodology/approach Using a quantitative cross-sectional field survey, primary data was collected at local administration levels from two cities in Indonesia. The final data set of 355 respondents was then analyzed using SmartPls3 and the measurement and structural models were tested. Findings Positive results were obtained for all the hypothesized links (direct and indirect relationships). The study’s findings revealed useful insights for policymakers and researchers regarding the public’s perception of good governance and their expectations from the government, which further lead toward trust in local governments. Practical implications The study concluded that good governance practices develop and enhance the public’s trust in the government, thus provided key policy directions. Originality/value This study contributes to the body of knowledge related to good governance elements and their impact on public trust in the local government via the underlying mechanism of perceived e-governance effectiveness in developing countries in general and particularly the Indonesian context. Moreover, it is a unique study in the good governance domain while considering three good governance elements into a single theoretical framework. Previous studies have explored these elements individually with public trust, so this combined framework advances the body of knowledge. This research’s findings also contributed toward validating good governance theory with e-governance effectiveness and public trust integration in a single comprehensive framework. This research also helped answer the questions arising from past literature about declining public trust trends in local governments.

Beyond censorship: politics, teens, and ELA teacher candidates

2017 ◽  
Vol 16 (3) ◽  
pp. 303-318 ◽  
Author(s):  
Denise Dávila ◽  
Meghan E. Barnes
Keyword(s):  
Teacher Candidates ◽  
English Language ◽  
Teacher Education Program ◽  
Research Question ◽  
The Body ◽  
Data Set ◽  
Secondary English ◽  
Content Type ◽  
Political Issues ◽  
Practical Experiences

Purpose Grounded in the scholarship addressing teacher self-censorship around controversial topics, this paper aims to investigate a three-part research question: How do secondary English language arts (ELA) teacher–candidates (TCs) in the penultimate semester of their undergraduate teacher education program position political texts/speeches, interpret high school teens’ political standpoints and view the prospects of discussing political texts/speeches with students? The study findings provide insights to the ways some TCs might position themselves as novice ELA teachers relative to political texts/speeches, students, colleagues and families in their future school communities. Design/methodology/approach Audio-recorded data from whole-class and small-group discussions were coded for TCs’ positioning of political texts/speeches, interpretations of teens’ political standpoints and viewpoints on discussing with students President Obama’s speech, “A More Perfect Union” (“A.M.P.U.”) The coded data set was further analyzed to identify themes across the TCs’ perspectives. Findings The data set tells the story of a group of TCs whose positionalities, background knowledge and practical experiences in navigating divergent perspectives would influence both their daily selection and censorship of political texts/speeches like “A.M.P.U.” and their subsequent willingness to guide equitable yet critical conversations about controversial issues in the secondary ELA classroom. Originality/value In advance of the 2018 midterm elections, this paper considers how the common core state standards’ (CCSS) recommendations to include more nonfiction documents in ELA instruction positions ELA teachers to provide interdisciplinary support in helping students think critically about political issues. It expands on the body of scholarship that, thus far, has been primarily grounded in the research on social studies instruction.

What the fake? Assessing the extent of networked political spamming and bots in the propagation of #fakenews on Twitter

2019 ◽  
Vol 43 (1) ◽  
pp. 53-71 ◽  
Author(s):  
Ahmed Al-Rawi ◽  
Jacob Groshek ◽  
Li Zhang
Keyword(s):  
Social Media ◽  
Data Sets ◽  
Fake News ◽  
Content Type ◽  
Mainstream Media ◽  
News Discourse ◽  
Twitter Data ◽  
News Organizations ◽  
Twitter Users ◽  
One Year

PurposeThe purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users.Design/methodology/approachTweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed.FindingsThe majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways.Research limitations/implicationsThe research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is.Originality/valueThis paper offers results on one of the first empirical research studies on the propagation of fake news discourse on social media by shedding light on the most active Twitter users who discuss and mention the term “#fakenews” in connection to other news organizations, parties and related figures.

The big bath of demonetization in India: strike on black money for corporate governance

2018 ◽  
Vol 21 (4) ◽  
pp. 594-600 ◽  
Author(s):  
Sandeep Goel
Keyword(s):  
Corporate Governance ◽  
Design Methodology ◽  
Content Type ◽  
Positive Effects ◽  
Corporate World ◽  
The World ◽  
Future Improvement ◽  
Policy Measures ◽  
The Government ◽  
Practical Implications

Purpose This paper aims to focus on the concept of abolition of black money and the demonetization movement started in India for cleaning black money and its impact on corporate world and Indian economy. It discusses the corporate governance effect of the demonetization scheme and various policy measures taken by the government to unearth and curb the black money in the country. It also states the challenges in its process of implementation and implications for future. Design/methodology/approach It appraises and reviews the concept of demonetization and its process in India since its implementation on November 8, 2016. Findings The biggest positive effects of this move were eradication of stocked and staked up money, cleansing of the financial system and improving governance in India. But its implementation had mix outcomes with its own challenges for future improvement. Practical implications The lessons drawn from the experience are expected to pave way for the countries at large. Originality/value It is an original paper on demonetization in India, and it is hoped that the lessons learnt thereof will pave the way for the world at large.

scholarly journals Event Monitoring and Intelligence Gathering Using Twitter Based Real-Time Event Summarization and Pre-Trained Model Techniques

2021 ◽  
Vol 11 (22) ◽  
pp. 10596
Author(s):  
Chung-Hong Lee ◽  
Hsin-Chang Yang ◽  
Yenming J. Chen ◽  
Yung-Lin Chuang
Keyword(s):  
Real Time ◽  
Data Science ◽  
Clustering Algorithm ◽  
Language Models ◽  
Event Monitoring ◽  
Data Set ◽  
Intelligence Gathering ◽  
Twitter Data ◽  
The Government

Recently, an emerging application field through Twitter messages and algorithmic computation to detect real-time world events has become a new paradigm in the field of data science applications. During a high-impact event, people may want to know the latest information about the development of the event because they want to better understand the situation and possible trends of the event for making decisions. However, often in emergencies, the government or enterprises are usually unable to notify people in time for early warning and avoiding risks. A sensible solution is to integrate real-time event monitoring and intelligence gathering functions into their decision support system. Such a system can provide real-time event summaries, which are updated whenever important new events are detected. Therefore, in this work, we combine a developed Twitter-based real-time event detection algorithm with pre-trained language models for summarizing emergent events. We used an online text-stream clustering algorithm and self-adaptive method developed to gather the Twitter data for detection of emerging events. Subsequently we used the Xsum data set with a pre-trained language model, namely T5 model, to train the summarization model. The Rouge metrics were used to compare the summary performance of various models. Subsequently, we started to use the trained model to summarize the incoming Twitter data set for experimentation. In particular, in this work, we provide a real-world case study, namely the COVID-19 pandemic event, to verify the applicability of the proposed method. Finally, we conducted a survey on the example resulting summaries with human judges for quality assessment of generated summaries. From the case study and experimental results, we have demonstrated that our summarization method provides users with a feasible method to quickly understand the updates in the specific event intelligence based on the real-time summary of the event story.

scholarly journals RESPONS AL JAM’IYATUL WASHLIYAH TERHADAP TERORISME

2017 ◽  
Vol 22 (1) ◽  
pp. 1
Author(s):  
Ja'far Ja'far
Keyword(s):  
Data Analysis ◽  
Field Studies ◽  
Data Sources ◽  
Islamic State ◽  
Data Display ◽  
Analysis Method ◽  
Suicide Bombings ◽  
Library Research ◽  
The Government ◽  
Using Data

Al Washliyah merupakan satu di antara banyak organisasi Islam yang menolak paham dan gerakan terorisme di Indonesia. Artikel ini mengkaji respons Al Washliyah terhadap terorisme. Kajian ini menarik dilakukan, sebab organisasi ini memiliki pengikut yang fanatik dan mengelola amal usaha yang banyak, tetapi masih relatif jarang diteliti oleh para peneliti. Kajian ini merupakan studi lapangan (library research) dimana sumber datanya diperoleh dari kegiatan wawancara dan studi dokumen. Data dianalisis dengan menggunakan metode analisis data menurut Miles dan Huberman: reduksi data, pemaparan data, dan penarikan kesimpulan. Didasari dengan teori Matusitz, Pranawati, dan Golose tentang doktrin terorisme dimana gerakan ini ingin mendirikan negara Islam, memaknai jihad sebagai perang, anti terhadap non-Muslim, dan melegalkan bom bunuh diri, kajian ini akan menelaah respons Al Washliyah terhadap empat persoalan tersebut. Kajian ini mengajukan temuan bahwa Al Washliyah menolak paham dan gerakan terorisme yang muncul dan berkembang di Indonesia, dan para ulamanya menilai bahwa kaum teroris telah salah dalam memahami ajaran Islam. Temuan kajian ini dapat berkontribusi bagi pemerintah dalam upaya menanggulangi gerakan terorisme di Indonesia. Al Washliyah is one of Islamic organizations that rejects the concept of terrorism in Indonesia. This article examines Al Washliyah's responses to terrorism. This study is interesting because this organization has fanatic followers and manages many business charities, but rarely investigated by researchers. This research is field studies where the data sources obtained from the interviews activities and document studies. Data were analyzed by using data analysis method according to Miles and Huberman: data reduction, data display, and conclusion. Based on the theory of Matusitz, Pranawati, and Golose about terrorism doctrine in which the program wants to establish an Islamic state, interpret jihad as war, anti to non-Muslims, and legalize suicide bombings, this study will examine the Al Washliyah's responses to those four issues. This study proposes that Al Washliyah rejects the concept of terrorism which appears and develops in Indonesia, and ulama consider that terrorists have misunderstood on Islamic concept. The findings of this study may contribute to the government in combating terrorism movement in Indonesia.

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