All Stories

  1. Unpacking the Gendered Impact of Scarcity Cues and Customer Ratings on Online Hotel Bookings and Recommendations
  2. Technology-mediated scarcity messages: a systematic literature review
  3. Understanding the captivating power of online scarcity messages: An eye-tracking study
  4. When algorithms and human experts contradict, whom do users follow?
  5. Help please! Deriving social support from Geminoid DK, Pepper, and AIBO as companion robots
  6. Booking hotels online: can scarcity messages mitigate the effect of a mediocre aggregated eWOM valence?
  7. Debiasing anchoring bias in the context of telemedicine
  8. Autonomous vehicle-related social media chatter affects males and females differently
  9. Reviewing the Research Landscape of Online Scarcity Messages
  10. Understanding online fake review production strategies
  11. How to make rumor rebuttals viral?
  12. AI-enabled investment advice: Will users buy it?
  13. How Are Peer Endorser Characteristics Related to Brand Selfie Attitude? An Abstract
  14. Is this question going to be closed? Answering question closibility on Stack Exchange
  15. Social media marketing on Facebook, Twitter, Instagram and LinkedIn
  16. Understanding Internet users’ lived experiences with YouTube ads
  17. Systematic literature review on the use of AI to study community question answering websites
  18. Put on your sunglasses and smile: The secret of Airbnb hosts’ profile photos?
  19. Weeding out low-quality answers from social question & answer sites
  20. Are fake online reviews always exaggerated?
  21. Social media and empowerment in hospitality and tourism decision-making: A study among UK Muslim women
  22. Older People’s Online Information Search During the Pandemic
  23. Brand Post Popularity on Social Media: A Systematic Literature Review
  24. Role of social media analytics in project management
  25. Machine learning techniques and older adults processing of online information and misinformation: A covid 19 study
  26. Human eyes are actually able to spot fake online reviews
  27. Skipping Skippable Ads on YouTube: How, When, Why and Why Not?
  28. Do rumor correction videos on YouTube work?
  29. What do we know about research on lecture capture in higher education?
  30. Understanding digital temptations: An analysis of Internet users' urge to click clickbaits
  31. Internet users follow online health rumors more than facts!!!
  32. Come tour with me: The effects of online profile of tour guides on Internet users
  33. Impact of online scarcity messages on luxury hotel booking intention
  34. Deep learning for mobile spam detection
  35. How do social media users talk about terrorism online?
  36. Impact of brands' content strategy on Facebook Fan Pages
  37. How can we encourage people to live a healthy lifestyle? A case study of Singapore
  38. The relation between online reviews and hotel bookings on Expedia, Agoda and Hotels.com
  39. This review looks expected: Let's trust it
  40. Authentic vs. Fake Online Reviews
  41. Online Falsehood as a Social Problem
  42. Second screening: Watching cricket on TV, & posting comments on social media!
  43. The holy grail of ground truth
  44. Using Google to search about the Internet, anxiety and happiness
  45. Dread health rumors on social media shared more than wish: Even you, medical experts?
  46. How to ensure your Facebook photos are 'Liked'
  47. Let's try to distinguish between rumors and their rebuttals
  48. How reviewers grow from novices to experts?
  49. Who spreads rumors on the Internet? And who stops them?
  50. Are reviews submitted by reputed reviewers more effective than those contributed by novices?
  51. How your action on Facebook can possibly curb online rumors?
  52. Let's learn how to identify fake reviews among authentic ones
  53. Theory to understand the cat-and-mouse game between online review spammers and researchers
  54. Is Lee Kuan Yew really dead?
  55. Do different categories of hotels attract similar types of fake reviews?
  56. Beware! Long textual rumors on the Internet can deceive us
  57. Business, couple, family, friend and solo travelers: Do you rate hotels around the globe similarly?
  58. Found a highly helpful review in Amazon: How good is its quality?
  59. Let's have some fun in learning humanities: Playing SingaRacer
  60. Voting against fake hotel reviews
  61. Want to read reviews before booking a hotel? Be careful about fake reviews!
  62. I can't fix the bug in my code: Seeking help from Stack Overflow
  63. Reputed and novice answerers in Yahoo! Answers: Here lies the difference!
  64. Let's see how authentic reviews differ from fake ones!
  65. Health rumors on the Internet: Do we really trust them?
  66. Strategies used to write fake reviews convincingly
  67. Not all applauses in reviews are genuine
  68. How to get the most out of question answering sites?
  69. Learning to identify authentic online reviews
  70. Write long lambasting reviews in Amazon to increase helpfulness
  71. Not all criticisms in reviews are authentic
  72. Not all kudos in reviews are genuine
  73. Are the fastest fingers also the best fingers?
  74. Microsoft, HP: Going green
  75. Starbucks’ use of Social Media for Customer Knowledge Management
  76. Removing spam through gameplay
  77. Comparison and Analysis of Watermarking Algorithms in Color Images - Image Security Paradigm
  78. How going green can bolster business sustainability?