Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practice's on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendations for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area.

The impact that Facebook and Twitter usage has on the creation and maintenance of university student’s cognitive social capital was investigated on students in the Western Cape province of South Africa. Facebook and Twitter were selected as part of the research context because both are popular online social network systems (SNSs), and few studies were found that investigated the impact that both Facebook and Twitter have on the cognitive social capital of South African university students. Data was collected from a survey questionnaire, which was successfully completed by over 100 students from all 5 universities within the Western Cape. The questionnaire was obtained from a previous study, allowing comparisons to be made. Analysis of the results however, did not show a strong relationship between the intensity of Facebook and Twitter usage, and the various forms of social capital. Facebook usage was found to correlate with student’s satisfaction with university life; which suggests that increasing the intensity of Facebook usage for students experiencing low satisfaction with university life might be beneficial.

Based on the diffusion of innovation (DOI) theory (Rogers, 2003), the uses and gratifications (U&G) theory, and trust theory, this study investigated the factors that influence the use of Twitter among the Kuwaiti community. The study surveyed Twitter users in Kuwait. A structured online questionnaire was used to collect data, and 463 respondents who provided complete answers participated. Multiple regression analysis was used to examine the effect of three theoretical perspectives on Twitter usage. The result of the analysis showed that Twitter usage is better explained by DOI constructs than by U&G constructs. The findings indicated that the perceived relative advantage from DOI, and the need for information, need to pass time, and need for interpersonal utility from the U&G approach, have a direct positive significant effect on the use of Twitter. None of the trust theory constructs was found to be significant in predicting the general use of Twitter. The study results help Twitter providers and users in individual or organizational contexts to understand what factors generally affect the usage of the Twitter service.

Aim/Purpose: Nigeria’s university education goes through incessant strikes by the Academic Staff Union of Universities (ASUU). This strike has led to shared emotion on micro-blogging sites like Twitter. This study analyzed selected historical tweets from the “ASUU” to understand citizens’ opinions. Background: The researchers conducted sentiment analysis and topic modelling to understand Twitter users’ opinions on the strike. Methodology: The researchers used the Valence Aware Dictionary for Sentiment Reasoning (VADER) technique for sentiment analysis, and the Latent Dirichlet allocation (LDA) was used for topic modelling. A total of 10,000 tweets were first extracted for the study. After data cleaning, 1323 tweets were left. Contribution: To the researcher’s best knowledge, no published study has presented a sentiment analysis on the topic of the ASUU strike using the Twitter dataset. This research will fill this gap by providing a sentiment analysis and drawing out subjects by exploring the tweets on the phrase “ASUU.” Findings: The sentiment analysis result using VADER returned 567 tweets as ‘Negative,’ with the remaining 544 and 212 categorized as Positive and Neutral. The result of the LDA returned six topics, all comprising seven keywords. The topics were the solution to the strike, ASUU strike effect, strike Call-off, appeal to ASUU, student protest and student appeal. Recommendation for Researchers: Researchers can use this study’s findings to compare with other contexts of opinion mining. Practitioners may also use the research to understand better the attitudes of their staff and students about the strikes to create actionable solutions before the suspension of the strike. Future Research: Future studies can collect information from other social networking and blogging sites.

Catawba County has upgraded a feed from its 911 Center of the information on calls regarding traffic incidents. The feed shows the type of incident reported, such as a vehicle accident, stranded motorist or vehicle fire, and gives the location of the incident. Only traffic related incidents are reported through this feed.

In an interview with the BBC last month, CEO Elon Musk said he had fired more than 6,000 people since taking over Twitter.

Twitter will get a new CEO in six weeks. Twitter owner Elon Musk announced recently that Linda Yaccarino will take the top job. Yaccarino too has officially confirmed that she is taking over as CEO of the microblogging platform. Yaccarino, chairman of global advertising and partnerships at NBCUniversal, said that she has been inspired by owner Musk's vision to create a brighter future.

After Musk acquired Twitter in October, the social media firm faced months of chaos, including layoffs of thousands of employees, criticism over lax content moderation, and an exodus of many advertisers who did not want their ads appearing next to inappropriate content.

Users get a Twitter-like microblogging experience, according to screenshots provided to media, suggesting that Meta Platforms has been gearing up to directly challenge the platform after Musk's tumultuous ownership has resulted in a series of unpopular changes that have turned off users and advertisers.

Meta's Threads racked up more than 30 million sign-ups within about 18 hours of its launch, emerging as the first real threat to Elon Musk-owned Twitter, as it took advantage of its access to billions of Instagram users and a similar look to that of its rival.

In order to take on the professional social networking platform LinkedIn, Twitter appears to be working on a job posting feature that will allow verified organisations to post job listings on their profiles

The 52-year-old Tesla founder has previously said that his rocky takeover of Twitter last year was "an accelerant to creating X, the everything app," a reference to the X.com company he founded in 1999, a later version of which went on to become PayPal, a payments giant.

Since taking over Twitter last November, Tesla chief Elon Musk has transformed it. From selling the verified badge for $8 a month to letting creators monetise their content, Musk has revamped many things at the microblogging site, except for its iconic bird logo. That, however, is about to change.

The success of Threads raises questions about Twitter's future. Amid massive layoffs and declining ad revenue, Twitter faces a turbulent time, further exacerbated by Elon Musk's renaming of the platform to X.

In just four hours of its launch, the social media platform has recorded over five million signups, Zuckerberg announced on Thursday.

Grey is focusing on health, Myke has left Twitter, and they've both used ChatGPT.

There are a lot of Twitter widgets for WordPress but in my experience none of those utilize the powerful SimplePie PHP class that is in the WordPress core. SimplePie is a powerful RSS reader class that has very nice built-in caching system since as we all know the Twitter API is limited to only 150 […]

In the second part of this tutorial we will extend the widget with more options. Let’s start by defining what sort of options we want it to have. Show timestamps Discover Hyperlinks Discover @replies Discover avatar Followers count You can download the extended plug-in here. Step 1: Getting the form ready for the new options […]

Yesterday Twitter announced that they were adding view counts to tweets on Twitter. I thought I’d use this announcement to very unscientifically compare the number of views one of my photos received on Twitter vs. Flickr. While some might call this an “apples vs. oranges” comparison, and Flickr is admittedly more of a photography centric …

Continue reading "Twitter vs. Flickr a View Count Comparison"

Boom! And just like that Elon Musk dropped a game changer. After several months of encouraging people to pay $7/month in the form of $84/year, Elon announced yesterday that starting April 15th, only verified Twitter accounts will be eligible to be in the “For You” tab. This was also after he announced that everyone who …

Continue reading "Why Twitter’s Paid Subscription Model May Be a Smart Move"

James King is a geomorphologist interested in exploring the processes that govern sediment transport and

Toronto, ON – A new report from the University of Toronto’s Citizen Lab reveals a sophisticated international cyber-espionage campaign targeting journalists and activists whose work concerns the United Arab Emirates. The campaign used elaborate ruses, including fake organizations and journalists, to engage targets online, then entice them to open malicious files and links containing malware capable […]

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Nearly a year after releasing its Moments curation feature, Twitter Moments is now available to users.

Twitter Moments are curated stories about what’s happening around the world—powered by Tweets.  Originally, a user could click on Moments on their profile page to find curated stories, i.e News, Entertainment, Sports, and Fun, in a typical news format.

But now, it’s easy to create your own story with Twitter Moments.  I think this is a great way to share school events and activities and it could also assist with classroom discussion, especially when dealing with current events.

Either watch the video by Richard Byrne of Free Technology for Teachers or follow the directions from Twitter below:

How to create a Moment

There are three ways to begin creating your own Moment. You can access Moments through the Moments tab, your profile page, or through a Tweet detail. To get started all you need is a title, description, Tweets, and a selected cover image.

From the Moments tab:

1. From the Moments tab, click the Create new Moment button.
2. Click the Title your Moment field to give your Moment a name.Note: Titles can be up to 75 characters in length.
3. Click the Add a description field to type in a description for your Moment.Note: Descriptions can be up to 250 characters in length. 
4. Choose Tweets to add to your Moment: 
1. From the Add Tweets to your Moment section at the bottom of the page, quickly access content to select Tweets from Tweets I’ve liked, Tweets by account, Tweet link, and Tweet search prompts. 
2. To add a Tweet to your Moment, click on the checkmark icon 
5. Click Set cover to choose a cover image from one of your selected Tweets, or to upload an image from your computer. Drag your selected image to set a Mobile preview, click the Next button, then click the Save button.Note: To change your selected image, hover over the cover image and click on Change cover media. After you’ve set your cover media, the source will be credited below the image. 
6. Once you have Tweets in your collection, click on the up  or down arrow buttons  to the right of a Tweet to move it up or down.
7. Click on the delete button  to remove a Tweet from your Moment.
8. Click on the crop button  next to any of your selected Tweets to make an image selection for mobile viewing.
9. Click the Finish later button at the top of the page to save a draft.
10. When you are ready to make your Moment live, click on the Publish button at the top of the page.

From a Tweet:

1. Click the more button 
2. Select New Moment to add the Tweet to a new Moment.Note: Any completed Moments or Moments drafts you have in progress will also be listed in the drop-down to choose from.
3. Follow the directions above to complete your Moment.

From the Moments tab on your profile page:

1. Click on the Moments tab, then click the Create new Moment button to get started.
2. Follow the directions above to complete your Moment.

From the More menu at the top of the page:

1. Click on ••• More while in draft mode.
1. Select Choose mobile theme color if you’d like to apply one.
2. Select Mark that Moment contains sensitive material if appropriate.
3. Select Share Moment privately to copy and paste your Moment’s URL to share privately with others. Note: The Moment will only be visible to people who have the URL, it will not be visible on your profile page, or published on Twitter.
4. Select Unpublish Moment to unpublish a Moment you have previously published. 
5. Select Delete Moment to permanently remove the Moment from your profile and Twitter. Note: You will see a confirmation pop-up message to confirm the deletion.

After you’ve saved your Moment as a draft:

• You can click on the Edit button under the Moment description to continue editing your Moment.
• Click the Tweet button under the Moment description to share your Moment with your followers. Note: The Tweet compose box will pop up giving you an opportunity to edit or add to the auto-populated Moment title and link in the compose box.
• Click on the more button  under the Moment description to send your Moment via Direct Message, and to view the copy and embed links to your Moment. Note: As you scroll through your saved or published Moment you will see a menu pop-up on the left hand side to conveniently Edit, Tweet, or Message your Moment.

Frequently asked questions

Can I make my Moments private?
When creating a Moment, you can select Share Moment privately, which will only make the Moment available to those who have the link. If you would like to make previously published or shared Moments visible to only you, select Unpublish Moment.

Can content in my Moment be reported?
Yes. Content displayed in a Moment, such as photos, videos, or Tweets can be reported. To learn about the various options for reporting components of a Moment, read our How to report violations article.

What happens if a Tweet I included in my Moment is reported?
If the cover or any of the individual Tweets of your Moment is reported to us and found to be in violation of the Twitter Rules, your account may be locked—even if you did not author the Tweet.

Assistant Professor Richard Crowley from SMU’s School of Accountancy examines financial accounting using both archival and analytical methods for his research. Much of his archival work deals with large sets of unstructured data using high-powered computing algorithms to address accounting issues that are otherwise infeasible to approach. He has recently written two research articles on using a machine learning technique to assess the content of companies’ disclosures. In this podcast, he discusses how fraud and misreporting can be detected by studying a company’s financial statement using a machine learning technique, and shares how companies disclose financial information on Twitter, and how feedback from investors and others can influence this.

Never lose a gem of a tweet to the ravages of the algorithmic timeline again.

Read more: Twitter is testing a feature allowing users to bookmark tweets

Will Twitter’s redesign attract new users or has that bird already flown?

Read more: Twitter gets a facelift: Mobile redesign is tweet chic

Twitter announces new effort to tackle the spread of fake news.

Read more: Twitter plans ‘fake news’ button, but fears it could be gamed

British man arrested in Spain over alleged role in Twitter hack of high-profile accounts

Twitter tests 'soft block' feature to remove unwanted followers as part of moves to improve privacy

'Character Limit: How Elon Musk Destroyed Twitter' explores what went wrong under the entrepreneur's ownership of the social media platform.

Panelistas consideran que se debe tener en cuenta el espíritu futurista de Elon Musk; creen que transformaciones en libertad de expresión le pueden dar ventajas.

Panelistas consideran que el presidente quiere protagonizar y dominar la agenda pública. Creen que ese tipo de comunicación desinstitucionaliza.

En este episodio, La Luciérnaga se enciende para hablar de la tutela que busca reversar la suspensión del alcalde de Medellin, Daniel Quintero. Además, se pausa la compra de Twitter por parte del empresario Elon Musk. También, el peso Colombiano cae a preocupantes niveles.La Luciérnaga un espacio de humor, análisis y opinión de Caracol Radio que acompaña desde hace 30 años a sus oyentes en el regreso a casa.

La Luciérnaga se enciende para hablar del Presidente Gustavo Petro y sus declaraciones en contra de varios medios. También, ¿Qué pasa con Twitter? Además, le contamos sobre como se prepara el comercio para celebrar el dia de la madre.La Luciérnaga, un espacio de humor, análisis y opinión de Caracol Radio que acompaña desde hace más de 30 años a sus oyentes en el regreso a casa.

La Luciérnaga se enciende para hablar de las declaraciones del ministro de salud. También, ¿Quièn quedará a cargo de Twitter? Además, celebramos el día de las madres.La Luciérnaga, un espacio de humor, análisis y opinión de Caracol Radio que acompaña desde hace más de 30 años a sus oyentes en el regreso a casa.

I really gotta get off Twitter/X, but I'd like to have all my data on one service. Have any of the alternate federated services implemented an importer for archived data yet? If not, are there any good third-party ways to do this now?

I looked into this a couple years ago, before I set up my mefi.social Mastodon account. But I only found some GitHub repos with scripts to do things like this, and it looked like doing it on Mastodon, for instance, if you'd already created an account would run the risk of flooding the server you're on with your old posts.

But people have been leaving Twitter/X for a couple years now, and the services have had some time to catch up after the flood of initial interest. Is there a way to import this data? Especially is there a way to do this on Mastodon that won't spam mefi.social? Heh.

De Nederlandse fractievoorzitter met de meeste Twitter-volgers is Geert Wilders. Volgens Twitteraudit is de helft van die volgers echter nep. Toch is Wilders dan alsnog de meest gevolgde fractievoorzitter.

Tony Rock: Twitter Evangelist.

An email containing a racist trope had already leaked.

I first arrived in Silicon Valley in 1977 — 45 years ago. I was 24 years old and had accepted a Stanford fellowship paying $2,575 for the academic year. My on-campus apartment rent was $175 per month and a year later I’d buy my first Palo Alto house for $57,000 (sold 21 years later for $990,000). It was an exciting time to be living and working in Silicon Valley. And it still is. We’re right now in a period of economic confusion and reflection when many of the loudest voices have little to no sense of history. Well my old brain is crammed with history and I’m here to tell you that the current situation — despite the news coverage — is no big deal. […]

The post What about the layoffs at Meta and Twitter? Elon is crazy! WTF??? first appeared on I, Cringely.






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