scholarly journals Fuzzy Matching for Symptom Detection in Tweets: Application to Covid-19 During the First Wave of the Pandemic in France

2021 ◽  
Author(s):  
Carole Faviez ◽  
Pierre Foulquié ◽  
Xiaoyi Chen ◽  
Adel Mebarki ◽  
Sophie Quennelle ◽  
...  
Keyword(s):  
Social Media ◽  
Automatic Detection ◽  
Data Sources ◽  
Comprehensive List ◽  
Related Symptom ◽  
Fuzzy Matching ◽  
Data Broker ◽  
Symptom List

The exhaustive automatic detection of symptoms in social media posts is made difficult by the presence of colloquial expressions, misspellings and inflected forms of words. The detection of self-reported symptoms is of major importance for emergent diseases like the Covid-19. In this study, we aimed to (1) develop an algorithm based on fuzzy matching to detect symptoms in tweets, (2) establish a comprehensive list of Covid-19-related symptoms and (3) evaluate the fuzzy matching for Covid-19-related symptom detection in French tweets. The Covid-19-related symptom list was built based on the aggregation of different data sources. French Covid-19-related tweets were automatically extracted using a dedicated data broker during the first wave of the pandemic in France. The fuzzy matching parameters were finetuned using all symptoms from MedDRA and then evaluated on a subset of 5000 Covid-19-related tweets in French for the detection of symptoms from our Covid-19-related list. The fuzzy matching improved the detection by the addition of 42% more correct matches with an 81% precision.

scholarly journals Using Social Media Data to Plan for Tourism

2020 ◽  
Vol 39 (3) ◽  
pp. 125-138
Author(s):  
Alina Zajadacz ◽  
Aleksandra Minkwitz
Keyword(s):  
Social Media ◽  
Local Level ◽  
Data Sources ◽  
Communication Tool ◽  
Tourism Planning ◽  
Communication Tools ◽  
Social Media Data ◽  
Planning Methods ◽  
The One ◽  
Media Data

AbstractThe purpose of the article is to present the concept of using social media (SM) as data sources and communication tools, useful at the various stages of planning, implementing and monitoring the effects of tourism development on a local level. The first part discusses the stages of planning, then presents the characteristics of SM, along with a discussion of the issues presented in the literature to this date. The next part presents data sources and methods of research on SM and functions that they can perform in tourism. The concept presented, on the one hand, reviews the perspectives of practical use of SM as a communication tool and source of data and, on the other hand, the challenges related to the need to further deepen research on tourism planning methods that are adequate to the continuously changing environment.

scholarly journals EARS – A WHO Platform for AI-Supported Real-Time Online Social Listening of COVID-19 Conversations

2021 ◽  
Author(s):  
Tina D. Purnat ◽  
Harry Wilson ◽  
Tim Nguyen ◽  
Sylvie Briand
Keyword(s):  
Social Media ◽  
Real Time ◽  
Public Spaces ◽  
Data Sources ◽  
Effective Response ◽  
Real Time Information ◽  
Time Information ◽  
Social Listening

As the COVID-19 pandemic evolves, the accompanying infodemic is being amplified through social media and has challenged effective response. The WHO Early AI-supported Response with Social Listening (EARS) is a platform that summarizes real-time information about how people are talking about COVID-19 in public spaces online in 20 pilot countries and in four languages. The aim of the platform is to better integrate social listening with other data sources and analyses that can inform infodemic response.

scholarly journals Conspiracy in the time of corona: automatic detection of emerging COVID-19 conspiracy theories in social media and the news

2020 ◽  
Vol 3 (2) ◽  
pp. 279-317 ◽  
Author(s):  
Shadi Shahsavari ◽  
Pavan Holur ◽  
Tianyi Wang ◽  
Timothy R. Tangherlini ◽  
Vwani Roychowdhury
Keyword(s):  
Social Media ◽  
Automatic Detection ◽  
Conspiracy Theories

Forest monitoring and social media – Complementary data sources for ecosystem surveillance?

2014 ◽  
Vol 316 ◽  
pp. 9-20 ◽  
Author(s):  
Stefan Daume ◽  
Matthias Albert ◽  
Klaus von Gadow
Keyword(s):  
Social Media ◽  
Data Sources ◽  
Forest Monitoring

Critical Analysis of the Content and Enforcement of Mandatory Consultation and Patient Profile Laws

1992 ◽  
Vol 26 (9) ◽  
pp. 1149-1155 ◽  
Author(s):  
Michael B. Nichol ◽  
Lucy W. Michael
Keyword(s):  
Drug Interactions ◽  
Adverse Drug Reactions ◽  
Critical Analysis ◽  
Drug Information ◽  
Data Sources ◽  
Drug Reactions ◽  
Comprehensive List ◽  
Telephone Interviews ◽  
Patient Profile ◽  
Standard Of Practice

OBJECTIVE: This study evaluates the experience of 12 states that mandate that pharmacists provide consult services to patients and maintain drug profiles. DATA SOURCES: An analysis of each state's statutes and regulations was complemented by telephone interviews of state licensing board staff. RESULTS: Nine states specify the information to be provided during consultations, but only one (Florida) requires a comprehensive list of drug information, including adverse drug reactions, drug—drug interactions, directions for use, and necessary warnings. Eleven of the 12 states also require pharmacists to maintain patient drug profiles, but only 6 states specify the type of information to be included in profiles. State efforts to inform consumers about the pharmacist consultation requirement are limited, with only 7 states undertaking minimal promotional programs. The fact that no states reported any consumer consultation complaints or disciplinary actions against pharmacists for failure to consult illustrates the limited nature of mandatory consultation statutes and regulations. CONCLUSIONS: The wide variety of requirements demonstrates that these laws do not represent a uniform standard of practice. The lack of documented evidence regarding implementation invites questions regarding their usefulness and reinforces the need for enhanced monitoring activities.

scholarly journals Analysis of Twitter's Function as a Media communication of Public Transportation

2021 ◽  
Vol 13 (1) ◽  
pp. 54
Author(s):  
Mohammad Jafar Loilatu ◽  
Bambang Irawan ◽  
Salahudin Salahudin ◽  
Iradhad Taqwa Sihidi
Keyword(s):  
Social Media ◽  
Public Transport ◽  
Public Transportation ◽  
Public Information ◽  
Data Sources ◽  
Bus Rapid Transit ◽  
Rapid Transit ◽  
Provision Of Services ◽  
Collection Data ◽  
Mass Rapid Transit

Social media plays a significant role in public services, one of which is public transport, while social media often promotes active participation and makes cities more adaptive by using social media. Public transport in Jakarta uses social media as a form of public contact in the provision of services. This study looks at the role of Jakarta's transport social media in delivering excellent information, this research looks at social media twitter accounts consisting of Mass Rapid Transit (MRT), Light Rapid Transit (LRT) and Bus Rapid Transit (BRT) accounts. The method used in this research is a quantitative approach to text analysis focused on Nvivo analysis methods. The phases of analysis using Nvivo begin with: (1) collection data, (2) import data, (3) coding data, (4) data classification, and (5) display data. The findings of this study replied that the social media twitter role in public transport in Jakarta has information features such as: disability rights information, route changes, traffic jams and services. The information provided by the MRT, LRT and BRT twitter social media accounts depends on the activeness of the Twitter social media so that the information can be acknowledged by users of public transport. The flow of information generated by the MRT, LRT and BRT social media accounts through; (1) data sources, (2) collection data, (3) responses, and (4) public information provided by each Twitter account. Media sosial memiliki peran yang besar dalam pelayanan publik salah satunya transportasi publik, media sosial juga mendorong interaksi menjadi aktif dan menjadikan kota lebih adaptif dengan menggunakan media sosial. Transportasi publik Jakarta menggunakan media sosial sebagai alat komunikasi publik dalam memberikan pelayanan. Penelitian ini melihat fungsi media sosial transportasi Jakarta dalam memberikan informasi pelayanan, analisis ini melihat akun media sosial twitter yang terdiri dari akun Mass Rapid Transit (MRT), Light Rapid Transit (LRT) dan Bus Rapid Transit (BRT). Metode dalam penelitian ini menggunakan pendekatan kuantitatif text analysisberbasis software dengan tools analisis Nvivo. Tahapan analisis menggunakan Nvivo dimulai dengan; (1) capturing data, (2) import data, (3) coding data, (4) klasifikasi data, dan (5) display data. Hasil dari penelitian ini menjawab bahwa fungsi media sosial twitter pada transportasi publik Jakarta memiliki karakteristik informasi seperti; informasi tentang hak disabilitas, perubahan rute, kemacetan, dan pelayanan. Informasi yang diberikan oleh akun media sosial twitter MRT, LRT, dan BRT bergantung pada keaktifan media sosial twitter, sehingga informasi tersebut dapat diterima oleh pengguna transportasi publik. Alur informasi yang disampaikan oleh akun media sosial MRT, LRT dan BRT melalui; (1) data sources, (2) processing data, (3) respon dan (4) informasi publik yang disampaikan oleh masing-masing akun twitter.

scholarly journals Epidemiology as a Practical Resource to Examine the Hype & Deliver Reliable Messages

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Sophia Anyatonwu
Keyword(s):  
Public Health ◽  
Social Media ◽  
General Public ◽  
Preliminary Finding ◽  
The United States ◽  
Data Sources ◽  
News Story ◽  
Guidance Document ◽  
News Stories ◽  
Spheres Of Influence

ObjectiveEpidemiologists will be better prepared to serve as a practical resource within their communities and spheres of influence by taking the time to examine data sources behind and implications of news stories and studies that are being widely circulated.IntroductionIt can be difficult to distinguish between truth, half-truth, fiction, and misinformation as we watch the news, read headlines, and scroll through various social media feeds. Fortunately, epidemiologists have the tools needed to serve as a practical resource for colleagues, partners, and communities. The Scrutinizer Challenge is an opportunity for epidemiologists to tackle at least one news story or study a month that is relevant to public health. The goal is that we would do the research necessary to examine data sources and implications of news stories and studies. This process can help us deliver consistent and reliable messages to share with colleagues, partners, and communities. It also provides an opportunity for epidemiologists that practice in different settings to consolidate resources and develop working relationships that may be needed to more thoroughly examine issues.MethodsThe Scrutinizer Challenge project was launched in January 2018 and introduced to Texas Public Health Association (TPHA) Epidemiology Section members. Participants were asked to select a headline or study to scrutinize. They were provided a guidance document with 10-25 questions to help identify and determine the credibility of data sources, compare these sources to claims being made, and assess overall implications of the news story or headline. Lastly, participants were asked to submit an actionable summary or end product that could be shared with colleagues, a local partner, or the general public. Scrutinizer Challenge project submissions were shared in the Epidemiology Section Newsletter or distributed to members as an educational resource.ResultsThree Scrutinizer Challenges were submitted between January 2018 and July 2018. News stories and study topics that were scrutinized addressed maternal mortality and morbidity in the United States, social media and population-level behavior change, and supplemental vitamins and minerals for disease prevention and treatment. The actionable summaries that were submitted were aimed at healthcare providers, researchers, and the general public. Limited but positive feedback was provided for each submission. Sources were found to be mostly credible for each news story or study, however, 2 out of 3 headlines did not support the claims made in the news story or study.ConclusionsThe Scrutinizer Challenges that have been submitted so far indicate that headlines can make incomplete or inaccurate claims even when credible sources are provided. This preliminary finding supports the need for epidemiologists to serve as a practical resource in their spheres of influence and communities, so that they can help cut through the hype and share reliable messages. 

scholarly journals Towards easy-to-implement misinformation automatic detection for online social media

2019 ◽  
Author(s):  
ulio Cesar Amador Diaz Lopez ◽  
Miguel Molina-Solana ◽  
Juan Gomez Romero
Keyword(s):  
Social Media ◽  
Automatic Detection ◽  
Online Social Media
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