Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter

Alotaibi, Bashayer A.; Abbasi, Rabeeh Ayaz; Aslam, Muhammad Ahtisham; Saeedi, Kawther; Alahmadi, Dimah

doi:10.1109/access.2020.2965181

Cited by 16 publications

(7 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thereby, they provide a co-occurrence matrix of discussed topics (as hashtags) and related Twitter users. Some researchers have studied initiatives taken by companies on Twitter [17]. The metric-based approaches adopt methods from network science.…”

Section: Related Workmentioning

confidence: 99%

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

“…Nonetheless, startups’ presence on digital platforms is continued since it enables the creation of a community between users and providers, which affects the scalability of the business, and opens new sources for creating value. Regarding the actual startups’ activity, Alotaibi et al ( 2020 ) designed a framework to evaluate Twitter activity using an Arabic startup as a case study. Recent systematic literature reviews have highlighted the need for deeper research in social media intelligence (Olanrewaju et al 2020 ; Smolak Lozano and Almansa-Martínez 2021 ).…”

Section: Introductionmentioning

confidence: 99%

Diachronic profile of startup companies through social media

Peixoto

Almeida

António

et al. 2023

Soc. Netw. Anal. Min.

View full text Add to dashboard Cite

Social media platforms have become powerful tools for startups, helping them find customers and raise funding. In this study, we applied a social media intelligence-based methodology to analyze startups’ content and to understand how their communication strategies may differ during their scaling process. To understand if a startup’s social media content reflects its current business maturation position, we first defined an adequate life cycle model for startups based on funding rounds and product maturity. Using Twitter as the source of information and selecting a sample of known Portuguese IT startups at different phases of their life cycle, we analyzed their Twitter data. After preprocessing the data, using latent Dirichlet allocation, topic modeling techniques enabled the categorization of the data according to the topics arising in the published contents of the startups, making it possible to discover that contents can be grouped into five specific topics: “Fintech and ML,” “IT,” “Business Operations,” “Product/Service R&D,” and “Bank and Funding.” By comparing those profiles against the startup’s life cycle, we were able to understand how contents change over time. This provided a diachronic profile for each company, showing that while certain topics remain prevalent in the startup’s scaling, others depend on a particular phase of the startup’s cycle. Our analysis revealed that startups’ social media content differs along their life cycle, highlighting the importance of understanding how startups use social media at different stages of their development.

show abstract

“…Nonetheless, startups' presence on digital platforms is continued since it enables the creation of a community between users and providers, which affects the scalability of the business, and opens new sources for creating value. Regarding the actual startups' activity, Alotaibi et al (2020) designed a framework to evaluate Twitter activity using an Arabic startup as a case study. Recent systematic literature reviews have highlighted the need for deeper research in social media intelligence (Olanrewaju et al 2020;Smolak Lozano and Almansa-Martínez 2021).…”

Section: Introductionmentioning

confidence: 99%

Diachronic Profile of Startup Companies through Social Media

Peixoto

Almeida

António

et al. 2023

Preprint

View full text Add to dashboard Cite

Social media platforms have become powerful tools for startups, helping them find customers and raise funding. Analysing the contents posted through social media would help them make the best use of this communication and scale their business. To understand if a startup’s social media content reflects its position in its business maturation, we start by defining an adequate life cycle model for startups based on two dimensions: funding rounds and product maturity. Using Twitter as social media source of information for known Portuguese IT startups, each at their life cycle’s different phases, their tweets’ data has been analyzed. Topic modeling techniques have enabled the categorization of the data according to the topics arising in the published contents, making it possible to discover that contents can be grouped into five specific topics: “Fintech and ML”, “IT”, “Business Operations”, “Product/Service R&D”, and “Bank and Funding”. Comparing those profiles against the startup’s life cycle to understand how contents change over time provides a diachronic profile for each company. We discovered that while some topics are prevalent in the startup’s scaling, others depend on the startup’s particular phase of the cycle, revealing that startups’ Twitter social media content differs along their life cycle.

show abstract

Startup Initiative Response Analysis (SIRA) Framework for Analyzing Startup Initiatives on Twitter

Cited by 16 publications

References 30 publications

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

Analyzing Public Discussions About #SaudiWomenCanDrive Using Network Science

Diachronic profile of startup companies through social media

Diachronic Profile of Startup Companies through Social Media

Contact Info

Product

Resources

About