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Online marketing must-know: Only some emotions help posts go viral

Certain emotions pack a bigger punch than others when it comes to how posts spread on social media.

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The positive emotions of love and joy might seem to have much in common. Similarly, anxiety and anger appear to be close emotional siblings.

But on social media, seemingly similar emotions can lead to very different responses.

According to new research by Yifan Yu, assistant professor of information, risk, and operations management at Texas McCombs, certain emotions pack a bigger punch than others when it comes to how posts spread on social media.

“Some emotions, like anxiety and love, help content go viral, while others, like anger or sadness, tend to slow things down,” says Yu.

His research also maps how different demographic groups react to different kinds of emotions. “People of different ages, genders, and social circles behave differently when they come across emotional content,” he says.

His findings, he believes, could help content creators and platforms employ social media more effectively.

With co-authors Shan Huang of the University of Hong Kong, Yuchen Liu of the University of Florida, and Yong Tan of the University of Washington, Yu sampled 387,486 online articles transmitted by almost 7 million unique users on WeChat, one of the world’s largest social media platforms.

They used a lexicon of words related to eight discrete emotions to classify each article’s content. They then analyzed how articles containing those words diffused through the network, looking at factors such as how widely and quickly posts spread. They found:

  • Anxiety, love, and surprise have positive impacts on the spread of content, while expressions of anger, sadness, and joy influence it negatively.
  • Older people are more likely to share articles that express anger or anxiety, while younger ones are more drawn to content expressing disgust.
  • Users with many friends tend to share articles displaying love, anxiety, anticipation, or disgust. Those with fewer friends are more likely to share articles showing anger or surprise.

Similar Emotions, Different Effects

A major surprise, says Yu, is “how similar emotions can have totally opposite effects on how content spreads.”

For example, although anger and anxiety are both negative, posts expressing anxiety outspread those expressing anger. Yu notes that anger is often seen as being reactive or irrational. Anxiety requires more time and thought, and users may perceive it as more reliable and helpful to share.

“It’s not just whether an emotion is positive or negative that matters,” he says. “It’s the specific type of emotion and what it signals to the reader.

“Some emotions, like anxiety or love, may prompt people to connect, support, or warn others. Others, like anger or joy, may come off as too aggressive or self-focused, making people less likely to share.”

Yu hopes his findings can help creators be more aware of the impact of emotional language when they’re crafting content.

Platforms can use his research in developing guidelines for content moderation, he adds. “Using our models, platforms can detect content with excessive emotional expression and anticipate its likely diffusion pattern, allowing for timely interventions.

“They should pay more attention to love, surprise, and especially anxiety, as these emotions can contribute to large information cascades.”

Ultimately, he believes his research “can help make social media safer by helping platforms better detect potentially harmful content early on, and by supporting policies that are more nuanced, data-driven, and effective.”

Emotions in Online Content Diffusion” is in Information Systems Research.

BizNews

Structure of online reviews shapes their helpfulness

Reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective.

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A study of nearly 200,000 Amazon reviews shows that the usefulness of online product reviews depends not only on what is said, but on how the information is structured.

The researchers, from the Universities of Cambridge and Queensland, studied Amazon reviews for products ranging from clothing to food to electronics. They found that how the information is organised matters as much as what is said, and that different review structures are more or less helpful, depending on how highly the reviewer has rated the product.

Their results, published in the journal Scientific Reports, could help companies and third-party review platforms design their review pages to prompt the sort of reviews that will be most helpful to potential customers.

For example, a reviewer assessing a laptop might praise its performance and design while criticising its battery life, so how should such information be structured to be most useful to the reader? Should the review begin with criticism and end on a positive note, or start positively before turning to drawbacks?

“Any target of evaluation typically has both positive and negative aspects, which makes crafting evaluative messages challenging,” said co-author Dr Yeun Joon Kim from Cambridge Judge Business School. “The key question is how to structure these elements within a single message. For example, one might present criticism upfront and then move to praise, or instead integrate negative points within an otherwise positive evaluation. Yet research has paid little attention to this structural dimension.

“We wanted to understand whether certain structures are consistently more effective, or whether their effectiveness depends on the performance of the target being evaluated.”

The study was based on 195,675 reviews of 5,487 distinct products, and assessed performance and related factors, and a helpfulness score as measured by reader votes.

The researchers identified nine possible structures of online reviews ranging from Type A reviews that start positive and become more positive as they go along, to Type I reviews that start negatively and become even more negative – with lots of variance in between.

For highly-rated products, reviews that grow increasingly positive are most helpful to readers, while those that turn negative are least helpful. For average-rated products, progressively negative trajectories enhance helpfulness, whereas reviews that start negative and grow positive are least effective. For low-rated products, reviews are judged most helpful when they open constructively before introducing criticism.

“The results are nuanced but very clear,” said co-author Dr Luna Luan from the University of Queensland, who carried out the research while earning her PhD at Cambridge Judge Business School. “Looking at the overall sentiment of reviews does not fully translate into message effectiveness. It is the broader structure of sentiment – how positivity and negativity evolve throughout the review – that shapes how readers interpret online reviews.”

“Our findings have practical implications for how platforms and companies can design review pages in order to elicit the sort of reviews that will be most helpful to readers based on how highly products are rated,” said Kim. “For example, instead of simply asking ‘Write your review here’, the online review form could instead include micro-prompts that guide how reviewers structure feedback in a way recipients find most helpful.”

The researchers found the most commonly used review styles are not necessarily the most helpful to readers. In particular, for average- and low-rated products, the structures that reviewers tend to adopt often differ from those that readers find most useful.

This mismatch likely reflects different underlying motivations. Reviewers are not always writing to maximise usefulness for others, but may instead be expressing their own experiences, frustrations or emotions – especially when evaluating products of moderate or poor quality. As a result, review writing often serves both as information sharing and as a form of self-expression. This helps explain why widely used review styles do not always align with what readers perceive as most informative or helpful.

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Strategies

Online marketers, take note: Online viewers prefer livestreams to recordings

Watching an online performance in real time boosts several aspects of the viewing experience.

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In an era when most TikTok videos are prerecorded, can a band with a new single create a tighter bond with fans by debuting via livestream instead? Can a business do the same when promoting a new product?

New research from the McCombs School of Business at The University of Texas at Austin suggests they could.

Since the pandemic, the livestreaming industry has been booming. The global market is expected to reach $345 billion by 2030, up from $100 billion in 2024. Nearly 30% of internet users watch livestreams at least once a week on social media.

Adrian Ward, associate professor of marketing, is one of them. A few years ago, he was viewing a livestream of a town hall meeting and found himself gripped by a speaker’s comments, feeling as if he were actually in the room. On reflection, he suspected it was the liveness of the event, as much as the speaker, that kept him glued to the screen.

“As we spend more of our time online and on social media, it’s worth asking how we can feel as complete and connected as possible in these spaces,” Ward says.

Live and Let Stream

With Alixandra Barasch of the University of Colorado Boulder and Nofar Duani of the University of Southern California, Ward began to investigate what he calls the “mere liveness effect”: the idea that simply knowing an event is streaming in real time makes a viewer feel more connected to the performer.

The researchers ran five experiments with 3,500 total participants. By manipulating various factors, they compared how, when, and why viewers reacted to watching livestreams versus prerecorded videos online.

In one experiment, participants watched live or recorded videos of their choosing on the platform Twitch. In another, they viewed a performance by the R&B cover band Sunny and the Black Pack, either live on YouTube Live or its recording the next day on YouTube.

In a third, the researchers created their own streaming platform to show participants identical videos, manipulating whether the content appeared to be live or prerecorded.

The experiments provide evidence that watching an online performance in real time boosts several aspects of the viewing experience:

  • Connection. Viewers in one experiment felt 7 percentage points more connected to the performers in the live video. Another experiment showed the effect was even stronger when viewers believed no one else was watching.
  • Enjoyment. In another experiment, viewers enjoyed the live video 5 percentage points more than the prerecorded one.
  • Engagement. Real-time streams carried a “liveness lift.” Viewers chose to continue watching longer, and they were more willing to follow and subscribe to the live streamer’s channels.

A common factor underlying those effects was a heightened sense of presence, Ward says. “When we watch something live, we are psychologically transported there.

“It’s not that there’s actually something different about the video itself. It’s that we know that it’s live right now, and that breaks down barriers between our world and the world on the other side of the screen.”

Lessons for Liveness

One quality weakened the liveness effect: not being able to see a performer’s face. When viewers saw only a musician’s hands, they felt less connected, even though they were watching the same performance.

The findings have implications for marketers, platform developers, and content creators, Ward says. In an age when people increasingly meet their social needs online, going live can benefit streamers by motivating audience engagement.

As a follow-up, he’s working with a graduate student to study whether the liveness effect translates into greater brand trust or sales.

“From influencers to businesses, it’s about the experience of real people seeing other real people live and in the moment,” Ward says. “It makes you feel like you’re sharing something.”

The Liveness Lift: Viewing Live Streams Creates Connection and Enhances Engagement in Amateur Music Performances” is published in The Journal of Marketing.

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Strategies

Renting out your place? Human connection key to a successful holiday rental

Warmth, friendliness and a sense of belonging, or the “homely” side of the experience, strengthen guest loyalty, making them more likely to return to the same host. However, these feelings alone didn’t necessarily make guests more likely to recommend the property to others.

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Striking up a connection with the property host is the factor that drives repeat bookings on holiday accommodation platforms such as Airbnb.

This is according to a new study, carried out by universities in the UK and Iran and published in the February 2026 edition of International Journal of Hospitality Management, that suggested that quality and value of accommodation also play a part in guest satisfaction, but personal connection is key to people deciding to stay again.

The research analyzed hundreds of online guest reviews and conducted in-depth interviews to understand what shapes guests’ evaluations of their stays in what is known as “peer-to-peer accommodation”.

Conducted over six years, the study shows that guests assess their stays using emotional cues such as warmth, atmosphere, and aesthetics; and cognitive cues such as cleanliness, safety, and convenience.

The study found that warmth, friendliness and a sense of belonging, or the “homely” side of the experience, strengthen guest loyalty, making them more likely to return to the same host. However, these feelings alone didn’t necessarily make guests more likely to recommend the property to others.

In contrast, affective and intellectual experiences – the enjoyment and perceived value of the stay – were stronger predictors of recommendations and positive reviews.

The research also examined how the quality of booking websites, such as Airbnb’s platform, influences guest behaviour. Although the website didn’t change how guests felt about the property itself, a well-designed and trustworthy site directly boosted guest loyalty and word-of-mouth.

Co-author Nektarios Tzempelikos, Professor of Marketing at Anglia Ruskin University (ARU), said: “Guests think carefully about both emotional and practical aspects before booking. Hosts who focus only on one side – either charm or functionality – may be missing the bigger picture.

“Platforms like Airbnb thrive when they’re designed for trust. Guests return to sites that are clear, reliable and easy to use. But it’s not just about tech, it’s about people. The most memorable stays come from warmth, authenticity and genuine local connection.

“By encouraging friendly, personal communication between hosts and guests, and balancing smart technology with a human touch, platforms can create experiences that feel less transactional and more meaningful.”

The study was carried out by researchers from Brunel University, University of Bradford, Newcastle University, Anglia Ruskin University and the University of Tehran.

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