Top Stories on StartUps (April 4)
An additional 20 articles discussing startups and entrepreneurs on Twitter have been presented in rows 62-81 of the attached spreadsheet.
Summary of findings
- The majority of the articles discussed how coronavirus pandemic is affecting startups and entrepreneurs. For example, DoorDash is a food delivery company that has seen an increase in deliveries, while there has been a decrease in Lime's services.
- Several articles discussed support or measures for startups, small-medium enterprises, and entrepreneurs in the form of loans, relief funds, tax reduction, and rental payment reduction among others.
- The article titled "Coronavirus (COVID-19): Small Business Guidance & Loan Resources" has 123 comments, 522 shares, and 1,300 likes on Twitter.
- This article was written and published by the U.S. Small Business Administration. It contains information about Coronavirus Funding Options, Guidance for Businesses and Employers , Local Assistance, SBA's Relief Efforts, SBA Products and Resources, and Government Contracting in the United States.
- An article titled "SheaMoisture announces $1 million relief fund to women of color entrepreneurs affected by coronavirus" has 8 comments, 196 shares, and 827 likes on Twitter.
- The $1 million relief fund aims to help reduce "financial hardships faced by minority and black-owned businesses" as a result of the COVID-19 pandemic.
These articles were selected by utilizing hashtag and non-hashtag searches with Twitter and Twitter's proprietary algorithms for rankings of top articles that discussed startups or entrepreneurs. We used the articles' original posts, as ranked by Twitter, to find the engagement metrics.
We began our research by using Twitter's search filters, select "Advanced search," and type in our keywords along with the dates, April 3 – April 4. The keywords used were entrepreneurs, startup, and startups. Then we searched through the list of posts to discover the top articles that people tweeted or re-tweeted within the specific dates. We searched for the original article post on Twitter from the publisher to find the number of times the story was shared, commented on, and liked.