Jeffrey Henning’s #MRX Top 10: “I’m Afraid *I* Can Do That, Dave”: AI and MR

Here are 10 of the most retweeted tweets over the past two weeks.

 

By Jeffrey Henning

Of the 4,527 unique links shared on the Twitter #MRX hashtag over the past two weeks, here are 10 of the most retweeted…

 

  1. How to Engage Millennials for Customer Insight and Marketing – Kelvin Claveria of Vision Critical answers five key questions about Millennials and how to engage them through market research and marketing.
  2. Machine Learning Needs Bias Training to Overcome Stereotypes – Just as humans need training to overcome unconscious bias, we need to design machine-learning algorithms with bias in mind. Automated online ad servers are more likely to show ads for jobs paying more than $200,000 to men than women, for instance, and more likely to show ads about arrests to blacks than whites.
  3. To Build Brands You Need More than Speed – Nigel Hollis of Millward Brown recaps a conference presentation by Neil Perkin of Only Dead Fish: if “‘data is the new oil’ … data, like oil, is toxic without being refined.”
  4. Why Women Don’t Apply for Jobs Unless They’re 100% Qualified – Tara Mohr, the author of Playing Big: Find Your Voice, Your Mission, Your Message, summarizes for Harvard Business Review a survey she conducted of 1,000 men and women about job searches. “What held [women] back from applying was not a mistaken perception about themselves, but a mistaken perception about the hiring process. This is critical, because it suggests that…women don’t need to try and find that elusive quality, ‘confidence,’ they just need better information about how hiring processes really work.”
  5. Building an Insights Engine – Keith Weed, Frank van den Driest, and Stan Sthanunathan, also writing for Harvard Business Review, share 10 operational and people characteristics that enable an insights engine to fire on all cylinders.
  6. IIeX Competition Winners Remesh Are Set To Disrupt Qual Research – Lenny Murphy profiles Remesh, a software platform that uses AI to oversee, analyze, and manage qualitative research with large numbers of participants.
  7. Infusing Cultural Thinking Into Your Business Strategy – John Wise of Kelton Global tackles the benefits of cultural insights: “By simply reframing how they think about culture and using the available insight tools in accordance with this new way of thinking, brands can get ahead of the curve and fully understand where their consumer is headed.” Make sure to read the whole post.
  8. AAA – Agility, Automation & AI – Slides and webinar recordings from the 10 recent NewMR presentations about agility, automation, and artificial intelligence.
  9. Fill Out This Survey to Read This Article! – Rachel Cusick, writing for Slate, worries about the privacy of information provided by respondents answering microsurveys from Google Consumer Surveys.
  10. Implications of Behavioral Economics on Market Research – Lynne Bartos of C&R Research looks at the impact of behavioral economics on respondent behavior.

 

Note: This list is ordered by the relative measure of each link’s influence in the first week it debuted in the weekly Top 5. A link’s influence is a tally of the influence of each Twitter user who shared the link and tagged it #MRX, ignoring retweets from closely related accounts. Only links with a research angle are considered. We also exclude any of my own articles from the list.

Comments

Comments are moderated to ensure respect towards the author and to prevent spam or self-promotion. Your comment may be edited, rejected, or approved based on these criteria. By commenting, you accept these terms and take responsibility for your contributions.

Jeffrey Henning

Jeffrey Henning

Chief Research Officer at Researchscape

128 articles

author bio

Disclaimer

The views, opinions, data, and methodologies expressed above are those of the contributor(s) and do not necessarily reflect or represent the official policies, positions, or beliefs of Greenbook.

More from Jeffrey Henning

How to Write Like an AI
The Prompt

How to Write Like an AI

2 min read

Some “tips” so that you can continue to enjoy writing, while pretending to simply be an editor of AI-generated content.

A Festivus for the Rest of Us Respondents
Research Methodologies

A Festivus for the Rest of Us Respondents

5 min read

Reflecting on how we can improve survey design for respondents.

Aliens vs. Dinosaurs
Brand Strategy

Aliens vs. Dinosaurs

3 min read

Given the diverse backgrounds of market researchers, there is a real need to continuously train.

Researchers and the Love of Learning
Insights Industry News

Researchers and the Love of Learning

6 min read

MRII’s survey on how the market research industry is doing in career satisfaction, growth opportunities, and learning preferences.

Not All Synthetic Data Is Created Equal
Artificial Intelligence and Machine Learning

Not All Synthetic Data Is Created Equal

What's the difference between ML and LLM-generated synthetic data? Julian Highley explains how each approach impacts research reliability.

Julian Highley

Julian Highley

EVP, Global Data Science and Product at MarketCast

Beyond Dashboards: Why AI Agents Are Changing Social Intelligence Workflows
Artificial Intelligence and Machine Learning

Partner Content

Beyond Dashboards: Why AI Agents Are Changing Social Intelligence Workflows

How can AI agents improve social listening? Discover how automated multi-brand analysis delivers faster insights and better business decisions.

Jade Becerra Arita

Jade Becerra Arita

Marketing Manager LATAM at YouScan

What AI Still Can’t Touch: Where Researcher Value Concentrates Now
The Prompt

What AI Still Can’t Touch: Where Researcher Value Concentrates Now

Explore where human judgment matters most in AI-assisted market research, from consumer experiences to strategic decisions and accountability.

Ashley Shedlock

Ashley Shedlock

Content Producer at Greenbook

The Governance Gap: Is Trust in AI Outpacing the Evidence?
Artificial Intelligence and Machine Learning

The Governance Gap: Is Trust in AI Outpacing the Evidence?

Explore why AI confidence can outpace validation and how research teams can strengthen oversight, accountability, and trust in AI outputs.

Ashley Shedlock

Ashley Shedlock

Content Producer at Greenbook

Sign Up for
Updates

Get content that matters, written by top insights industry experts, delivered right to your inbox.

67k+ subscribers