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The tangible and intangible needs of people with disabilities have been neglected in research agendas over the past decades, particularly in China. Bringing more benefits to people with disabilities and combining information delivery with Internet technology to improve their quality of life is impossible if their special needs are ignored. This study employed the crowdsourcing through social media method to investigate information needs of people who are disabled. The results indicate that using the popular social media platforms WeChat and QQ can be an effective means of reaching out to this group. Information needs can be mainly divided into internal and external needs. Leisure, tourism, and entertainment as well as assistive devices are major internal information needs, whereas work, entrepreneurship, and living services are the main external information needs.

Entrepreneurship benefits economic development and innovation, and provides competitive advantages. Thus, entrepreneurship issues have received widespread attention from both academia and governments. However, there is relatively scarce research on the issues or topics that concern most people when talking about entrepreneurship on social media platforms. This study explores global entrepreneurship issues on Twitter. It adopts a text-mining technique followed by a social network analysis to analyze global, real-time longitudinal, and qualitative data from Twitter using 138,089 tweets related to entrepreneurship from 28,592 Twitter users. We observe that the startup phase is the most critical issue when talking about entrepreneurship because most people are interested in acquiring information on how to start a new venture. We also find that busy entrepreneurs prefer obtaining tips to help them work smart. Finally, the four most discussed topics are starting a business, success tips, startup, and team building. The research period is not long enough and all samples in the study are from Twitter Although they are representative, future research can improve the academic and practical implications with extended data collection periods and cross-platforms. Plain language summary: Global entrepreneurship issues on Twitter This study investigates how practitioners discussed entrepreneurship on Twitter. Text-mining is used to generate entrepreneurship topics in this work. The study employed a qualitative method. This study observes that the startup phase is the most critical issue when talking about entrepreneurship. [ABSTRACT FROM AUTHOR]