Boise State University Graduate Students Use “Big Data” to Analyze Kickstarter Videos
- Admin
- Jan 25, 2023
- 2 min read
Boise State University (BSU) doctorate students Evi Ofekeze and Ibrahim Olalekan Alabi have been focused on machine learning (ML) and data science under BSU Research Computing Services Director and West Hub Steering Committee Member Steve Cutchin for the past few years. Most recently the two students contributed to the NASA-funded SnowEx project with BSU Geoscientist H.P. Marshall using ML to predict hydrological outcomes of snowpack from remote sensing data.
Additionally, Ofekeze and Olalekan Alabi have been working with BSU Associate Professor of Marketing Anne Hamby and Assistant Professor of Information Technology Steve Pentland to analyze the varying degrees of success in response to fundraising videos on Kickstarter, a crowdfunding platform that often contains videos in which an entrepreneur describes their idea to potential investors.
“In the current work, we are examining how the vocal characteristics (in terms of pitch and loudness) associated with the entrepreneur's description predict the likelihood of obtaining funding,” explained Hamby. “We extracted the time series data from each video in terms of the pitch and loudness variation, and Evi and Ibrahim used BSplines to obtain the ‘shape’ of different videos on these dimensions - for instance, whether the pitch increases continuously over the video, increases then decreases, etc.”
They then used cluster analyses to group the main categories of patterns, from which three emerged for pitch and five emerged for loudness. Hamby said that some clusters are more persuasive than others in terms of their association with crowdfunding success.
“The work with the College of Business at BSU aligns with our goal of advancing the use of machine learning in various research domains,” said Ofekeze.
“We are also able to perform advanced data analytical techniques in social science research,” said Alabi. “This indicates the scalability of ML techniques.”
Ofekeze and Alabi are also currently working on their Software Carpentry trainer certifications.
Fascinating study on leveraging big data for video analysis! For graduates looking to present their analytical skills effectively, Graduate CV writing New Zealand services can help craft a well-designed, ATS-friendly CV that highlights relevant experiences and opens doors to new opportunities
Fascinating research! The integration of machine learning with communication elements like pitch and loudness shows how impactful delivery style can be in crowdfunding. As someone offering presentation design services, I’ve seen how strategic visuals and tone together can drive engagement and results your work really underscores that connection.
Fascinating work by the BSU team it's exciting to see machine learning applied to something as nuanced as vocal patterns in Kickstarter videos. As someone working in a PowerPoint design agency, we often explore how tone, visuals, and structure influence audience engagement in pitch decks. This kind of research could be incredibly useful in refining how we design persuasive presentation narratives. Kudos to Evi and Ibrahim for pushing the boundaries in interdisciplinary data science!
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This research by Boise State University students is a perfect example of how data-driven insights can transform storytelling whether in crowdfunding videos or business presentations. At my presentation design agency, we often leverage data and audience psychology to craft visuals and narratives that truly connect and persuade. It’s exciting to see machine learning applied in creative ways like analyzing vocal pitch and loudness to predict success. Thanks for sharing this innovative work!
This is a fascinating analysis of Kickstarter videos and how big data can reveal key trends. The integration of technology and creative projects is remarkable. For students needing help with data analysis or academic writing, Dissertation writing services in Ireland offer excellent support to bring your research to the next level.