Twego Trending: Data Analytics Based Search Engine Using Elasticsearch

Twitter monitoring enables firms to consider their market, stay on track of what is being said regarding their company and contenders, and uncover emerging market trends. Twego Trending is a platform where data will be viewed and structured by an automated procedure of analyzing and processing tweets data and classifying it into various hash statistics and visualizations. Implementing Twego forecasting analysis on Twitter data using various technologies may help businesses know how consumers talk about their product. Twitter has more than 340 million active users and almost 500 millions tweets are posted every day. This social media platform helps companies to reach a large audience and communicate without intermediaries with consumers. The aim is to build a Search Engine in which , when someone will type in a query , it will return back tweets as well as do data analytics on the results and provide visualizations.

#FlavorsSaveLives: An analysis of Twitter posts opposing flavored e-cigarette bans

Background Starting in 2019 policies restricting the availability of flavored e-cigarette products were proposed or implemented in the U.S. to curb vaping by youth. People took to Twitter to voice their opposition, referencing the phrase “Flavors Save Lives”. This study documented the emerging themes pertaining to “Flavors Saves Lives” over a 12-month period. Methods The study period was from May 1, 2019 to May 1, 2020. A stratified sampling procedure supplied 2500 tweets for analysis. Posts were classified by one or more of the following themes: 1) Political Referendum; 2) Institutional Distrust; 3) Individual Rights; 4) Misinformation; 5) THC Vaping is the Real Problem; 6) Smoking Cessation; 7) Adult Use; and 8) Not a Bot. The temporal pattern of tweets over the year was examined. Results Political Referendum (76.5%) and Institutional Distrust (31.3%) were the most prominent themes, followed by Not a Bot (11.0%), Individual Rights (10.4%), Adult Use (8.0%), Smoking Cessation (6.6%), Misinformation (5.9%), and THC Vaping is the Real Problem (3.5%). Total tweet frequencies increased in September 2019 and peaked in November 2019 before returning to relatively low numbers. Political Referendum and Institutional Distrust were consistently the most prevalent themes over time. Conclusion Twitter posts with the phrase “Flavors Save Lives” commonly discussed voting against political incumbents and mentioned distrust of government representatives. Findings demonstrated the possibility of near real time Twitter monitoring of public opposition to flavor bans. These data may be valuable for designing tobacco control information campaigns in the future.

Twitter monitoring evidence of Covid-19 infodemic in Italy

Background Risk communication is essential for risk management, especially during alarming events, in order to create a balanced risk perception. The tweets follow up can be useful to timely evidence “media storms” or “infodemics” thus suggesting corrective interventions. The spread of Covid-19 has been the occasion to observe the evolution of tweets about this topic, with the aim of evidence peaks of fear Methods On 30th January 2020 we started a large collection of Italian and English tweets containing the following keywords: “coronavirus”, “2019-nCov”, “CoronavirusOutbreak”, “CoronavirusWho”, “WuhanCoronavirus”, “coronaviruschina”, “coronavirusitalia”, “virus cina”, “virus cinese”, “virus mascherine”, “virus paura”, “virus polmonite” and “virus vaccine”. “Covid-19” and “SARS-CoV-2” were added later. For the data collection Twitter Streaming API was used. Results The total number of tweets collected till 26th February was approximately 20M, 2M in Italian and 18M in English. The trend of the volume of tweets gathered shows a first small peak between Jan 30th and Feb 1st, but a second, higher, peak is visible after the 21st February, following the report of the Covid-19 clusters in Italy. Italian tweets account for 6% of the first peak and for 22% of the second. The Italian word “paura” firstly appeared on Feb 5th, with a peak after Feb 21th. Conclusions ”infodemics” or “media storms”, are situations of uncontrolled diffusion of news and opinion, frequently leading to irrational and counterproductive behaviors. The Italian evolution of tweets indicate since the first day of cluster report, a clear escalation of fear, that suggests timely corrective actions to facilitate the disease control. Key messages With the twitter monitoring we demonstrate that since 21th February an infodemic is spreading in Italy. The twitter follow up can be used to timely evidence a public alarm, motivate corrective interventions and. evaluate the efficacy of them.