The “Blue Check” Communication on the Pandemia Vaccine Campaign

2022 ◽  
pp. 664-685
Author(s):  
Domenico Trezza ◽  
Miriam Di Lisio

This chapter has the exploratory goal of understanding the attitudes and perceptions of 'verified' Twitter (VA) accounts about the COVID-19 vaccine campaign. Identifying their sentiment and opinion about it could therefore be crucial to the success of vaccination. A content analysis of tweets from the period December 24, 2020 to March 23, 2021 about the vaccine campaign in Italy was conducted to understand the semantic strategies used by VAs based on their orientation toward the vaccine, whether pro, anti, or neutral, and their possible motivations. Topic modeling allowed the authors to detect five prevalent themes and their associated words. A sentiment analysis and opinion analysis were performed on a smaller sample of tweets. The results suggest that 'authoritative' opinion about the vaccine has been very fragmented and not entirely positive, as expected. This could prove to be a critical issue in getting the vaccine positively accepted by the public.

Author(s):  
Amrita Mishra ◽  

Sentiment Analysis has paved routes for opinion analysis of masses over unrestricted territorial limits. With the advent and growth of social media like Twitter, Facebook, WhatsApp, Snapchat in today’s world, stakeholders and the public often takes to expressing their opinion on them and drawing conclusions. While these social media data are extremely informative and well connected, the major challenge lies in incorporating efficient Text Classification strategies which not only overcomes the unstructured and humongous nature of data but also generates correct polarity of opinions (i.e. positive, negative, and neutral). This paper is a thorough effort to provide a brief study about various approaches to SA including Machine Learning, Lexicon Based, and Automatic Approaches. The paper also highlights the comparison of positive, negative, and neutral tweets of the Sputnik V, Moderna, and Covaxin vaccines used for preventive and emergency use of COVID-19 disease.


2014 ◽  
Vol 1079-1080 ◽  
pp. 609-613
Author(s):  
Xue Mei Zhou ◽  
Yi Zhe Liu

With development of information technology and network technique, as information media micro-blog becomes more and more important. Micro-blog is noted for preeminent simple, convenient and interactivity. However with the help of micro-blog, fake information is rampant increasingly. The public opinion analysis of micro-blog data allows of no delay. This paper explicates the features of micro-blog text, and then describes text information extraction technology such as top detection, tracking in detail. The outcomes of information extraction can inform government department spot of internet public opinion in real time.


2020 ◽  
Vol 5 (1) ◽  
pp. 86-99
Author(s):  
Runbin Xie ◽  
Samuel Kai Wah Chu ◽  
Dickson Kak Wah Chiu ◽  
Yangshu Wang

AbstractIt is necessary and important to understand public responses to crises, including disease outbreaks. Traditionally, surveys have played an essential role in collecting public opinion, while nowadays, with the increasing popularity of social media, mining social media data serves as another popular tool in opinion mining research. To understand the public response to COVID-19 on Weibo, this research collects 719,570 Weibo posts through a web crawler and analyzes the data with text mining techniques, including Latent Dirichlet Allocation (LDA) topic modeling and sentiment analysis. It is found that, in response to the COVID-19 outbreak, people learn about COVID-19, show their support for frontline warriors, encourage each other spiritually, and, in terms of taking preventive measures, express concerns about economic and life restoration, and so on. Analysis of sentiments and semantic networks further reveals that country media, as well as influential individuals and “self-media,” together contribute to the information spread of positive sentiment.


Author(s):  
Courtney Waugh

Strategic planning documents are "key sites to institutional discourse" and reflect the public face of the library. This research explores the extent to which Neoliberal discourse permeates the strategic plans of three Canadian academic libraries, and examines how they are responding to global economic and political pressures. Through content analysis, the tension between libraries as a public good versus libraries as commodity is examined. Within this context, the disconnect between librarian core values and changing institutional values is also explored.Les documents de planification stratégique sont des « sites clés pour tout discours institutionnel » et reflètent le visage public d’une bibliothèque. Cette recherche tente de prendre la mesure dans laquelle le discours néolibéral imprègne les documents de planification stratégique de trois bibliothèques universitaires canadiennes, et examine comment ces institutions répondent à la montée et à la diversification des pressions économiques et politiques mondiales. En utilisant l'analyse de contenu et un regard critique, cette recherche exploratoire examine la tension entre la conception de la bibliothèque comme bien public et sa conception comme produit de marchandisation.


2020 ◽  
Vol 4 (2) ◽  
pp. 362-369
Author(s):  
Sharazita Dyah Anggita ◽  
Ikmah

The needs of the community for freight forwarding are now starting to increase with the marketplace. User opinion about freight forwarding services is currently carried out by the public through many things one of them is social media Twitter. By sentiment analysis, the tendency of an opinion will be able to be seen whether it has a positive or negative tendency. The methods that can be applied to sentiment analysis are the Naive Bayes Algorithm and Support Vector Machine (SVM). This research will implement the two algorithms that are optimized using the PSO algorithms in sentiment analysis. Testing will be done by setting parameters on the PSO in each classifier algorithm. The results of the research that have been done can produce an increase in the accreditation of 15.11% on the optimization of the PSO-based Naive Bayes algorithm. Improved accuracy on the PSO-based SVM algorithm worth 1.74% in the sigmoid kernel.


2021 ◽  
Vol 29 (Supplement_1) ◽  
pp. i28-i29
Author(s):  
R Munshi ◽  
T Grimes

Abstract Introduction Reducing the global prevalence of severe, avoidable medication-related harm (MRH) by 50% by the end of 2022 is the WHO’s third global patient safety challenge [1]. MRH is reported frequently in the academic literature, with increasing age being a key risk factor. The WHO have highlighted the need to improve public health literacy and knowledge about medications. Little is known about the frequency and nature of Irish newspaper reports about MRH. This study sought to address this gap and to examine reporting during the calendar years 2019 and 2009. Methods In this mixed-methods study, LexisNexis® [2], an online newspaper archive database, was searched for newspaper articles reporting on MRH, published in the Republic of Ireland during the calendar years 2019 and 2009. The search strategy focussed on “medication” AND “harm” AND “patient”. Quantitative data extraction aimed to describe the frequency (by count of articles) of reporting of MRH and the nature by describing the publishing newspaper titles and the reported details of: drug class(es), demographics (age or life stage, gender) of those experiencing harm and the severity of harm. Qualitatively, a systematic content analysis, using inductive coding is ongoing and will be reported separately. Research ethics committee approval for this study is not required because this is an analysis of material in the public domain. Results In total, 7098 newspaper articles were identified through database searching for 2019 (n=3217) and 2009 (n=3881). To date, 54% (3867: n=3217, 45% 2019, n=650, 9% 2009) of these were screened, of which 63 newspaper articles (n=44 2019, n=19 2009) were included and quantitative data were extracted. Within these 63 articles, 71 cases of individual people experiencing MRH were reported (52 in 2019 and 19 in 2009). The newspapers most commonly reporting MRH were Irish Daily Mail (31/63: 27 in 2019 and 4 in 2009) and Irish Times (17/63:9 in 2019 and 8 in 2009). Drug classes most frequently reported as causing MRH were central nervous system drugs (antiepileptics n=10, opioid analgesics n=5, antidepressants n=9, and anxiolytics n=1), cancer chemotherapy (23 cases) and non-steroidal anti-inflammatories (n=3). MRH was reported as being fatal (13 /71:8 in 2019 and 5 in 2009) and non-fatal (58/71), with seven cases (5 in 2019 and 2 in 2009) of permanent harm. Among the 71 individual cases of MRH, the majority were adults aged 18–64 years (n=36), children (n=7), older adults (n=8), foetus (n=3) and newborn (n=1), while the remainder did not report the person’s age. Conclusion MRH is frequently reported to the public through Irish newspapers. The study is limited by focus on newsprint media with the exclusion of other forms of digital or social media and restriction to two calendar years in a single country, which likely stifles the generalisability of findings to other contexts. Future work could explore this issue across a wider range of media platforms and examine changes in reporting over time. The study findings may support an agenda to improve the general public's exposure to information and knowledge of MRH and medication safety. References 1. Donaldson, L.J., et al., Medication without harm: WHO's third global patient safety challenge. 2017. 389(10080): p. 1680–1681. 2. https://advance-lexis-com.elib.tcd.ie/firsttime?crid=d5f713e8-8107-4efd-91cc-1e99c82cdb58&pdmfid=1519360.


2021 ◽  
pp. 239693932110002
Author(s):  
J. Kwabena Asamoah-Gyadu ◽  
Vivian Dzokoto ◽  
Annabella Osei Tutu ◽  
Abraham Kenin ◽  
Amanda Stahl

Despite the popularity of religion in African settings such as Ghana, reports of moral decline abound. This article reviews traditional, mission, and Christian theological perspectives of morality in Ghana. Using interviews, surveys, and content analysis of vehicle slogans, it examines what Ghanaians today consider to be values in terms of virtues and vices. It explores implications for Christian mission involvement in shaping morality in education and the public sphere.


Author(s):  
Sardar Haider Waseem Ilyas ◽  
Zainab Tariq Soomro ◽  
Ahmed Anwar ◽  
Hamza Shahzad ◽  
Ussama Yaqub

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