All Stories

  1. Understanding online fake review production strategies
  2. What Makes Rumor Rebuttals Viral on Social Media?
  3. AI-enabled investment advice: Will users buy it?
  4. Brand post popularity on Facebook, Twitter, Instagram and LinkedIn: the case of start-ups
  5. Understanding Internet users’ lived experiences with YouTube ads
  6. Analysis of community question‐answering issues via machine learning and deep learning: State‐of‐the‐art review
  7. Put on your sunglasses and smile: The secret of Airbnb hosts’ profile photos?
  8. Weeding out low-quality answers from social question & answer sites
  9. Are fake online reviews always exaggerated?
  10. Older People’s Online Information Search During the Pandemic
  11. Exploring the Dynamics of Justification in the Wake of a Rumor Outbreak on Social Media
  12. Social media analytics for end-users' expectation management in information systems development projects
  13. Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study
  14. Human eyes are actually able to spot fake online reviews
  15. Skipping Skippable Ads on YouTube: How, When, Why and Why Not?
  16. Do rumor correction videos on YouTube work?
  17. What do we know about research on lecture capture in higher education?
  18. Understanding digital temptations: An analysis of Internet users' urge to click clickbaits
  19. Internet users follow online health rumors more than facts!!!
  20. Come tour with me: The effects of online profile of tour guides on Internet users
  21. Impact of online scarcity messages on luxury hotel booking intention
  22. Deep learning for mobile spam detection
  23. How do social media users talk about terrorism online?
  24. Impact of brands' content strategy on Facebook Fan Pages
  25. How can we encourage people to live a healthy lifestyle? A case study of Singapore
  26. The relation between online reviews and hotel bookings on Expedia, Agoda and Hotels.com
  27. This review looks expected: Let's trust it
  28. Authentic vs. Fake Online Reviews
  29. Online Falsehood as a Social Problem
  30. Second screening: Watching cricket on TV, & posting comments on social media!
  31. The holy grail of ground truth
  32. Using Google to search about the Internet, anxiety and happiness
  33. Dread health rumors on social media shared more than wish: Even you, medical experts?
  34. How to ensure your Facebook photos are 'Liked'
  35. Let's try to distinguish between rumors and their rebuttals
  36. How reviewers grow from novices to experts?
  37. Who spreads rumors on the Internet? And who stops them?
  38. Are reviews submitted by reputed reviewers more effective than those contributed by novices?
  39. How your action on Facebook can possibly curb online rumors?
  40. Let's learn how to identify fake reviews among authentic ones
  41. Theory to understand the cat-and-mouse game between online review spammers and researchers
  42. Is Lee Kuan Yew really dead?
  43. Do different categories of hotels attract similar types of fake reviews?
  44. Beware! Long textual rumors on the Internet can deceive us
  45. Business, couple, family, friend and solo travelers: Do you rate hotels around the globe similarly?
  46. Found a highly helpful review in Amazon: How good is its quality?
  47. Let's have some fun in learning humanities: Playing SingaRacer
  48. Voting against fake hotel reviews
  49. Want to read reviews before booking a hotel? Be careful about fake reviews!
  50. I can't fix the bug in my code: Seeking help from Stack Overflow
  51. Reputed and novice answerers in Yahoo! Answers: Here lies the difference!
  52. Let's see how authentic reviews differ from fake ones!
  53. Health rumors on the Internet: Do we really trust them?
  54. Strategies used to write fake reviews convincingly
  55. Not all applauses in reviews are genuine
  56. How to get the most out of question answering sites?
  57. Learning to identify authentic online reviews
  58. Write long lambasting reviews in Amazon to increase helpfulness
  59. Not all criticisms in reviews are authentic
  60. Not all kudos in reviews are genuine
  61. Are the fastest fingers also the best fingers?
  62. Microsoft, HP: Going green
  63. Starbucks’ use of Social Media for Customer Knowledge Management
  64. Removing spam through gameplay
  65. How going green can bolster business sustainability?