How optimistic do citizens feel about digital contact tracing? – Perspectives from developing countries
PurposeDespite numerous positive aspects of digital contact tracing, the implied nature of contact tracing is still viewed with skepticism. Those in favor of contact tracing often undermine various risks involved with it, while those against it often undermine its positive benefits. However, unless...
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| Published in | International journal of pervasive computing and communications Vol. 18; no. 5; pp. 518 - 526 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Bingley
Emerald Group Publishing Limited
25.11.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1742-7371 1742-738X |
| DOI | 10.1108/IJPCC-10-2020-0166 |
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| Abstract | PurposeDespite numerous positive aspects of digital contact tracing, the implied nature of contact tracing is still viewed with skepticism. Those in favor of contact tracing often undermine various risks involved with it, while those against it often undermine its positive benefits. However, unless the government and the app makers can convince a significant section of the population to use digital contact apps, desired results cannot be achieved. This study aims to focus on analyzing the perception of citizens belonging to developing countries about digital contact tracing.Design/methodology/approachFor this study, data were collected from Twitter. Tweets containing hashtag and the word “contact tracing” were crawled using Python library Tweepy. Tweets across the top five developing countries (India, Brazil, South Africa, Argentina and Columbia) with high COVID-19 cases were collected for this study. After eliminating tweets of other languages, we selected 50,000 unique English tweets for this study. Using the machine learning algorithm, we have detected the sentiment of all the tweets belonging to each country. Structural topic modeling was performed for the tweets to understand the concerns shared by citizens of the developing countries about digital contact tracing.FindingsThe study was conducted in two parts. Study 1 results show that Indians and Brazilians citizens record more negative sentiments toward “digital contact tracing” than other major developing countries. Surprisingly, the citizens of India and Brazil also records more positive sentiments about contact tracing. This shows the polarized nature of the population of both countries while dealing with digital contact tracing. Overall, only 33.3% of total tweets were positively related to contact tracing, while 53.7% of the total tweets were neutral. Study 2 results show that factors such as the reliability of the contact tracing apps, contact tracing may lead to unnecessary panic, invasion of privacy and data misuse as the prominent reasons why the citizens of the five countries feel pessimistic about contact tracing.Originality/valueAfter the COVID-19 strikes, numerous studies were conducted to analyze and suggest the best possible way of implementing digital contact tracing to curb COVID. However, only a handful of studies were conducted examining how the general public perceives the concept of digital contact tracing, especially pertaining to developing countries. This study fills that gap. |
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| AbstractList | PurposeDespite numerous positive aspects of digital contact tracing, the implied nature of contact tracing is still viewed with skepticism. Those in favor of contact tracing often undermine various risks involved with it, while those against it often undermine its positive benefits. However, unless the government and the app makers can convince a significant section of the population to use digital contact apps, desired results cannot be achieved. This study aims to focus on analyzing the perception of citizens belonging to developing countries about digital contact tracing.Design/methodology/approachFor this study, data were collected from Twitter. Tweets containing hashtag and the word “contact tracing” were crawled using Python library Tweepy. Tweets across the top five developing countries (India, Brazil, South Africa, Argentina and Columbia) with high COVID-19 cases were collected for this study. After eliminating tweets of other languages, we selected 50,000 unique English tweets for this study. Using the machine learning algorithm, we have detected the sentiment of all the tweets belonging to each country. Structural topic modeling was performed for the tweets to understand the concerns shared by citizens of the developing countries about digital contact tracing.FindingsThe study was conducted in two parts. Study 1 results show that Indians and Brazilians citizens record more negative sentiments toward “digital contact tracing” than other major developing countries. Surprisingly, the citizens of India and Brazil also records more positive sentiments about contact tracing. This shows the polarized nature of the population of both countries while dealing with digital contact tracing. Overall, only 33.3% of total tweets were positively related to contact tracing, while 53.7% of the total tweets were neutral. Study 2 results show that factors such as the reliability of the contact tracing apps, contact tracing may lead to unnecessary panic, invasion of privacy and data misuse as the prominent reasons why the citizens of the five countries feel pessimistic about contact tracing.Originality/valueAfter the COVID-19 strikes, numerous studies were conducted to analyze and suggest the best possible way of implementing digital contact tracing to curb COVID. However, only a handful of studies were conducted examining how the general public perceives the concept of digital contact tracing, especially pertaining to developing countries. This study fills that gap. |
| Author | Ittamalla, Rajesh S.V., Praveen Subramanian, Dhilip |
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| Cites_doi | 10.1145/1014052.1014073 10.3115/1220575.1220619 10.1108/ijpcc-09-2020-0121 10.1108/ijpcc-06-2020-0054 10.1007/s11109-016-9368-2 10.1007/978-3-319-55394-8_3 10.1073/pnas.1509433112 10.3115/1220355.1220555 10.1108/ijpcc-06-2020-0057 10.1007/s11069-017-2960-x 10.1108/ijpcc-08-2020-0107 10.1111/ajps.12103 10.1108/ijpcc-07-2020-0081 10.1016/j.imavis.2017.08.003 10.1017/S0020818316000448 10.1038/nclimate2663 |
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| References | Turney (2025090904222957100_ref021) 2002 Kim (2025090904222957100_ref011a) 2004 Tvinnereim (2025090904222957100_ref022) 2015; 5 Priya (2025090904222957100_ref017) 2020; 16 Lalitha (2025090904222957100_ref013) 2020; 16 Praveen (2025090904222957100_ref016) 2020 Agarwal (2025090904222957100_ref001) 2009 Wang (2025090904222957100_ref023) 2017; 89 Pak (2025090904222957100_ref014) 2010 Arun (2025090904222957100_ref002) 2020 Farrell (2025090904222957100_ref011) 2016; 113 Roberts (2025090904222957100_ref018) 2014; 58 Buntain (2025090904222957100_ref006) 2016 2025090904222957100_ref025 Bauer (2025090904222957100_ref004) 2017; 39 Barbosa (2025090904222957100_ref003) 2010 Tingley (2025090904222957100_ref011b) 2017; 71 Soleymani (2025090904222957100_ref020) 2017; 65 Chatfield (2025090904222957100_ref007) 2012 Ryan (2025090904222957100_ref019) 2020; 16 Hu (2025090904222957100_ref012) 2004 Pang (2025090904222957100_ref015) 2004 Earle (2025090904222957100_ref010) 2012; 54 Li (2025090904222957100_ref026) 2017 2025090904222957100_ref008 Bermingham (2025090904222957100_ref005) 2010 Wilson (2025090904222957100_ref024) 2005 2025090904222957100_ref009 |
| References_xml | – year: 2004 ident: 2025090904222957100_ref012 article-title: Mining and summarizing customer reviews. KDD doi: 10.1145/1014052.1014073 – volume-title: Recognizing Contextual Polarity in Phrase Level Sentiment Analysis year: 2005 ident: 2025090904222957100_ref024 doi: 10.3115/1220575.1220619 – year: 2020 ident: 2025090904222957100_ref016 article-title: General public’s attitude toward governments implementing digital contact tracing to curb COVID-19 – a study based on natural language processing publication-title: International Journal of Pervasive Computing and Communications doi: 10.1108/ijpcc-09-2020-0121 – volume-title: in Tenth International AAAI Conference on Web and Social Media year: 2016 ident: 2025090904222957100_ref006 article-title: Evaluating public response to the Boston marathon bombing and other acts of terrorism through twitter – volume: 16 start-page: 321 issue: 4 year: 2020 ident: 2025090904222957100_ref017 article-title: Pediatric and geriatric immunity network mobile computational model for COVID-19 publication-title: International Journal of Pervasive Computing and Communications doi: 10.1108/ijpcc-06-2020-0054 – volume-title: A Sentimental Education: Sentiment Analysis Using Subjectivity Analysis Using Subjectivity Summarization Based on Minimum Cuts year: 2004 ident: 2025090904222957100_ref015 – volume: 39 start-page: 553 issue: 3 year: 2017 ident: 2025090904222957100_ref004 article-title: Is the left-right scale a valid measure of ideology? publication-title: Political Behavior doi: 10.1007/s11109-016-9368-2 – ident: 2025090904222957100_ref009 – start-page: 36 year: 2010 ident: 2025090904222957100_ref003 article-title: Robust sentiment detection on twitter from biased and noisy data – start-page: 41 volume-title: In a Practical Guide to Sentiment Analysis year: 2017 ident: 2025090904222957100_ref026 doi: 10.1007/978-3-319-55394-8_3 – volume: 54 issue: 6 year: 2012 ident: 2025090904222957100_ref010 article-title: Twitter earthquake detection: earthquake monitoring in a social world publication-title: Annals of Geophysics – volume: 113 start-page: 92 issue: 1 year: 2016 ident: 2025090904222957100_ref011 article-title: Corporate funding and ideological polarization about climate change publication-title: Proceedings of the National Academy of Sciences doi: 10.1073/pnas.1509433112 – volume-title: Thumbs up or Thumbs down? Semantic Orientation Applied to Unsupervised Classification of Reviews year: 2002 ident: 2025090904222957100_ref021 – year: 2004 ident: 2025090904222957100_ref011a article-title: Determining the sentiment of opinions publication-title: Coling doi: 10.3115/1220355.1220555 – volume: 16 start-page: 409 issue: 5 year: 2020 ident: 2025090904222957100_ref013 article-title: Tracking the COVID zones through geo-fencing technique publication-title: International Journal of Pervasive Computing and Communications doi: 10.1108/ijpcc-06-2020-0057 – year: 2010 ident: 2025090904222957100_ref014 article-title: Twitter as a corpus for sentiment analysis and opinion mining – volume: 89 start-page: 161 issue: 1 year: 2017 ident: 2025090904222957100_ref023 article-title: Crisis information distribution on twitter: a content analysis of tweets during hurricane sandy publication-title: Natural Hazards doi: 10.1007/s11069-017-2960-x – year: 2020 ident: 2025090904222957100_ref002 article-title: Detection and monitoring of the asymptotic COVID-19 patients using IoT devices and sensors publication-title: International Journal of Pervasive Computing and Communications doi: 10.1108/ijpcc-08-2020-0107 – start-page: 1833 volume-title: Classifying Sentiment in Microblogs: Is Brevity an Advantage is Brevity an Advantage? year: 2010 ident: 2025090904222957100_ref005 – year: 2012 ident: 2025090904222957100_ref007 article-title: Twitter tsunami early warning network: a social network analysis of twitter information flows – volume: 58 start-page: 1064 issue: 4 year: 2014 ident: 2025090904222957100_ref018 article-title: Structural topic models for open-ended survey responses publication-title: American Journal of Political Science doi: 10.1111/ajps.12103 – ident: 2025090904222957100_ref008 – ident: 2025090904222957100_ref025 – volume: 16 start-page: 383 issue: 4 year: 2020 ident: 2025090904222957100_ref019 article-title: In defence of digital contact-tracing: human rights, South Korea and covid-19 publication-title: International Journal of Pervasive Computing and Communications doi: 10.1108/ijpcc-07-2020-0081 – volume: 65 start-page: 3 year: 2017 ident: 2025090904222957100_ref020 article-title: A survey of multimodal sentiment analysis publication-title: Image and Vision Computing doi: 10.1016/j.imavis.2017.08.003 – start-page: 24 year: 2009 ident: 2025090904222957100_ref001 article-title: Contextual phrase-level polarity analysis using lexical affect scoring and syntactic n-grams – volume: 71 start-page: S165 issue: S1 year: 2017 ident: 2025090904222957100_ref011b article-title: Rising power on the mind publication-title: International Organization doi: 10.1017/S0020818316000448 – volume: 5 start-page: 744 issue: 8 year: 2015 ident: 2025090904222957100_ref022 article-title: Explaining topic prevalence in answers to open ended survey questions about climate change publication-title: Nature Climate Change doi: 10.1038/nclimate2663 |
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| SubjectTerms | Algorithms Contact tracing Coronaviruses COVID-19 Culture Data mining Decision making Developing countries Government LDCs Machine learning Ratings & rankings Reliability aspects Sentiment analysis Social networks |
| Title | How optimistic do citizens feel about digital contact tracing? – Perspectives from developing countries |
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