TRV-2026-2688Version 1 · Published

Saved · see the current record

Why this version exists

Certified into the record

The exact text we saved

This is the version exactly as it was saved, character for character. The SHA-256 hash below is a 64-character code worked out from that text. Run the same text through SHA-256 and you get the same code; change a single letter and the code comes out completely different. Each version also stores the previous version’s hash, which chains them together so no version can be swapped out quietly.

TRUVACE RECORD VERSION
record: TRV-2026-2688
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-11-12T17:01:11.251705Z
status: published
lens: g_space
sector: business
headline: To smile or not to smile? Emoji-enhanced chatbots, brand coolness, and behavioral intention
dek: Based on the Computers-as-Social-Actors (CASA) framework, this paper explores how emojis in chatbot conversations and perceived brand coolness interact with consumers’ attitudes toward the e-shop (Ae-shop) to influence their behavioral intention (BI) to follow chatbot recommendations. Two online, 2 (brand coolness: low vs. high) ×2 (chatbot with emojis usage: with vs. without) between-subjects experiments with 208 and 296 Greek Gen Z consumers, respectively, were conducted, while measuring the moderating effect…
gain_title: In two experiments with 208 and 296 Greek Gen Z consumers, shoppers with a positive attitude toward the e-shop were more inclined to follow a chatbot's recommendations when it used emojis and when the brand was seen as cool.
problem_title: (none)
trace_subject: (none)
gain_reading: In two experiments with 208 and 296 Greek Gen Z consumers, shoppers with a positive attitude toward the e-shop were more inclined to follow a chatbot's recommendations when it used emojis and when the brand was seen as cool.
gain_evidence: a positive Ae-shop strengthens the emojis → BI and brand coolness →BI relationships
problem_reading: (none)
problem_evidence: (none)
quick_read: Two online experiments with Greek Gen Z consumers, 208 in the first and 296 in the second, tested how emojis in chatbot conversations and a brand's perceived coolness affect willingness to follow a chatbot's recommendations. Participants were randomly assigned to low or high brand coolness and to a chatbot with or without emojis.

The effect depended on how consumers already felt about the e-shop. Those with a positive attitude responded more favourably to emojis and cool brands, while those with a less positive attitude responded negatively to both. The authors call this a 'double-edged' role.

Intention to follow the chatbot also mediated the link between emoji use, brand coolness and purchase intention. The authors conclude that attitude toward the e-shop is an essential boundary condition for building cool brands online and for adding emojis to chatbot communication.
limitation: Both experiments involved only Greek Gen Z consumers, so the findings may not apply to other age groups or countries.
tag: Evidence-backed gain
key_points: The study used a 2 (brand coolness: low vs. high) by 2 (chatbot with vs. without emojis) between-subjects design. | Two online experiments were run, with 208 and 296 Greek Gen Z consumers. | The work is grounded in the Computers-as-Social-Actors framework, which treats people as responding socially to computers. | A positive attitude toward the e-shop strengthened the links from emoji use and from brand coolness to intention to follow chatbot recommendations. | A less positive attitude toward the e-shop reversed both links to negative. | Intention to follow recommendations mediated the relationships between emoji use, brand coolness and purchase intention.
rundown: The researchers, drawing on the Computers-as-Social-Actors framework, asked whether people treat a chatbot's emojis as social cues that shape their willingness to act on its advice. They also tested the role of perceived brand coolness.

Each of the two experiments crossed low versus high brand coolness with a chatbot that either used emojis or did not. Attitude toward the e-shop was measured as a moderator. The samples were 208 and 296 Greek Gen Z consumers.

Results showed the same features could raise or lower intention to follow recommendations. For consumers positive toward the shop, emojis and coolness helped. For those less positive, both pushed intention down, and the authors describe emojis and brand coolness as double-edged in this setting.
sources:
- peer_reviewed | Journal of Marketing Communications | https://doi.org/10.1080/13527266.2026.2677091 | 2026-05-26
prev: 0000000000000000000000000000000000000000000000000000000000000000
SHA-256 hash
6dc4d6eb511818914d71957bbeac3c7d2c3ba470761825e516da1acd5c15679d
Previous version’s hash
0000000000000000000000000000000000000000000000000000000000000000
Check this record hasn’t been altered
How to check it yourself, without trusting this page

Download any version from /api/record/TRV-2026-2688 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.