How Culture Shapes Online Reviews: A Global Insight

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Sell the same product in Tokyo and Toronto, and you won’t get the same kind of review. Culture doesn’t just shape what people buy - it shapes how they talk about it. At least that is what studies suggest (Barbro et al., 2020; Hong et al., 2016). To test this, we analyzed over 11 million VoC data across 15 countries and five industries (consumer electronics, cosmetics, tires, pet food, and apps/stores) between 2020-2025 stored in our data lake. The result? Certain countries do indeed show specific patterns of ratings and reviews.
Content:
Why Online Reviews Matter
Before buying a new vacuum cleaner, most of us check reviews first, looking for more than just information: trust. In fact, a recent report shows that 95% of shoppers read reviews before buying, and 96% say they influence decisions more than recommendations from friends and family. Just showing reviews can lift conversions by 20%, and when shoppers actually read or interact with them, that figure can double. Reviews aren’t just opinions; they are value co-creators that shape brand trust and loyalty (Alhumud & Elshaer, 2024). But here’s the catch: not everyone writes or interprets them the same way. What’s “constructive” in Berlin might feel “harsh” in Bangkok; what’s “polite” in Tokyo might seem “vague” in Toronto. So, to truly understand global feedback, we have to look at culture.
To do so, we considered three cultural frameworks to explain the global patterns in online reviews:
1. Socio-Cognitive Systems Theory (SCST)
SCST proposes that cultural upbringing shapes how people think and process information (Makus & Kitayama, 1991; Nisbett et al., 2001; Monga & John, 2007):
2. The Revised Individualism-Collectivism Scale
Building on Hofstede’s (1980) famous framework, Minkov and colleagues (2017; 2022) refined the key cultural dimensions that affect how we express ourselves:
3. Hall’s Context and Communication Style
Anthropologist Edward Hall (1976) divided cultures into high-context and low-context communicators:
Based on this literature, we expected that people from analytical, low-context cultures like Germany, the UK, and the US would write longer, more detailed reviews. On the other hand, holistic, high-context cultures such as Thailand, China, and Japan were expected to keep things shorter and subtler, using tone and shared understanding rather than long explanations. When it comes to ratings, we anticipated that collectivist, harmony-oriented countries (like Thailand, China, Brazil, Turkey, India) would show stronger conformity, sticking closer to the average and avoiding extreme ratings. Meanwhile, individualist cultures (like Germany, France, USA, and Japan) were expected to show more spread in their scores, freely expressing both praise and criticism.
Across 15 analyzed countries, these patterns emerged:
When we look across all industries, clear cultural patterns emerge in how people write and rate reviews.

If you’re analyzing global reviews, interpreting them without cultural context can skew your conclusions. A low sentiment score in Japan does not necessarily signal dissatisfaction; it might reflect a communication style that values balance over extremes. So, combine metrics with meaning: Star ratings alone can mislead. Reading the why behind them reveals true insights. Understanding these nuances transforms reviews from raw data into actionable cultural insight. Our Insights Lab can help you with this.
Culture is complex - and people even more so. Not every individual perfectly reflects their country’s culture, just as no single nation fits neatly into one cultural box. The cultural frameworks we’ve used are best understood as guiding lenses, not rigid categories. Many countries are multifaceted, reflecting different traits depending on region, history, or context.
On top of that, different studies use different individualism-collectivism (I-C) scales. For example, a country might be classified as “individualist” in one study and “collectivist” in another. Our analysis is based on Minkov’s 2017 revised framework, while some of the supporting literature draws from earlier models, meaning that some discrepancies are expected. It’s also worth noting that data availability varies. Not all countries and industries had the same review volume, which means direct comparisons should be read with a degree of caution.
Finally, the relationships we’ve observed are correlational, not causal. The data show strong cultural patterns, but they don’t tell us exactly why these patterns occur. Exploring that “why” could be a fascinating next step - for instance, conducting linguistic analyses of content, tone, emotional expression, or language structure (how direct vs indirect) of the reviews.
References
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Barbro, P. A., Mudambi, S. M., & Schuff, D. (2020). Do Country and Culture Influence Online Reviews? An Analysis of a Multinational Retailer’s Country-Specific Sites. Journal of International Consumer Marketing, 32(1), 1–14.
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