# engagement Published articles for engagement. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Operation "Date Bait": AI-enabled scam targeting loveseekers DevFeed: [Operation "Date Bait": AI-enabled scam targeting loveseekers]() Original publisher: [Read original article]() Published: 2026-02-01T00:00:00Z Content type: news Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI](), [ChatGPT](), [Automation](), [API]() Tags: [ads](), [ai](), [api](), [automation](), [chatgpt](), [engagement](), [openai](), [safety](), [scam](), [social-media](), [structured](), [tasks](), [telegram](), [translation](), [trust]() ### AI overview OpenAI describes Operation "Date Bait," in which accounts likely originating in Cambodia used ChatGPT and API access for a semi-automated romance and task scam targeting Indonesian men. The operation used translated and emotionally manipulative outreach across advertisements, an AI chatbot, Telegram, and dating platforms. ### Source excerpt OpenAI banned accounts that very likely originated in Cambodia and used AI for scam outreach to Indonesian loveseekers, including translation and engagement. ## Romance scams: AI-enabled romance scam workflows DevFeed: [Romance scams: AI-enabled romance scam workflows]() Original publisher: [Read original article]() Published: 2026-02-01T00:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Artificial Intelligence](), [OpenAI]() Tags: [ai](), [case-study](), [chatgpt](), [emotion](), [engagement](), [fraud](), [investment](), [manipulate](), [money](), [openai](), [report](), [safety](), [scam](), [translation]() ### AI overview OpenAI describes romance-scam workflows in which accounts used AI for outreach, translation, victim engagement, emotional manipulation, and investment-fraud lures. The company says it banned those accounts and disrupted related scam operations. ### Source excerpt OpenAI banned accounts using AI to support romance scam workflows, including outreach, translation, victim engagement, and investment-fraud lures. ## Temporal: 2023 year in review DevFeed: [Temporal: 2023 year in review]() Original publisher: [Read original article]() Author: Jim Walker Published: 2024-01-11T16:00:00Z Content type: article Language: en Sources: [Temporal Blog]() Topics: [Developer experience](), [Open Source](), [Cloud](), [Slack]() Tags: [cloud](), [community](), [customers](), [engagement](), [github](), [open-source](), [sdks](), [startups](), [year-in-review]() ### AI overview Temporal's 2023 year-in-review describes progress in Durable Execution, growth in its open-source community and Slack workspace, commercial expansion through Temporal Cloud, a Startups program, a partner ecosystem, and new project features and SDKs. ### Source excerpt 2023 was a big year for Temporal, but more importantly for our customers and community. Let's look back on the year with Durable execution ## How Engagement Systems Use Data to Provoke Political Outrage DevFeed: [How Engagement Systems Use Data to Provoke Political Outrage]() Original publisher: [Read original article]() Author: Adam Published: 2020-10-31T00:00:00Z Content type: opinion Language: en Sources: [Shostack & Friends Blog]() Topics: [data](), [systems]() Tags: [engagement](), [manipulation](), [measuring](), [optimizing](), [social-media]() ### AI overview The article argues that news and social media websites use data to measure and optimize engagement, showing users content tailored to provoke them. It recommends recognizing these tactics and reflecting on emotional reactions to reduce their influence. ### Source excerpt With three days to the US election, the outrage machines are running on all cylinders. It'll be easier to stay happy if you remember to notice them. ## The Dope Cycle and the Two Minutes Hate DevFeed: [The Dope Cycle and the Two Minutes Hate]() Original publisher: [Read original article]() Author: Adam Published: 2017-01-04T00:00:00Z Content type: opinion Language: en Sources: [Shostack & Friends Blog]() Topics: [Internet](), [.NET]() Tags: [engagement](), [gamification](), [internet](), [psychology]() ### AI overview The article examines how internet platforms use engagement mechanics, popularity metrics, and increasingly powerful analytics to encourage repeated use and stronger emotional reactions. It argues that this cycle can amplify outrage and other emotionally stimulating messages. ### Source excerpt [no description provided] ## Using Individual Emails to Improve Feedback and Measure Response DevFeed: [Using Individual Emails to Improve Feedback and Measure Response]() Original publisher: [Read original article]() Author: Map Published: 2014-02-07T20:55:56Z Content type: opinion Language: en Sources: [Craig Kerstiens]() Topics: [email](), [Messaging]() Tags: [communication](), [email](), [engagement](), [groups](), [productivity]() ### AI overview The article argues that individually addressed emails can produce more and more detailed responses than sending one message to a large mailing list. It recommends tailoring the number and audience of requests as feedback is refined. ### Source excerpt In a conversation with @alexbaldwin yesterday the topic of email came up, with each of us quickly diving into various observations, how its both awesome and a great form of communication/engagement, how most people still do it really bad. Alex has some good experience with it with hack design having over 100,000 subscribers. A tangent in an entirely unrelated meeting with @mschoening and others it was suggested instead of emailing a list to send out a ton of individual emails instead. Both of these reminded me that email is incredibly powerful, but taking advantage of its power has to be intentional. This is not about ways to get to inbox 0 or better manage your inflow of emails. Rather its about how to get the maximum output out of emails that you send, or minimum output depending on what you prefer. 1 email to 100 vs. 100 emails to 1 This is perhaps my favorite approach to get more efficient feedback and also know how broad an impact something has. Most smaller companies or groups within a company have a mailing list thats all@yourcompany.com or ourgroup@mycompany.com. When people want to communicate out to the entire list its a great mechanism, however when you want feedback from the entire company its not a great mechanism. The reason being is that most people will know how many are on that list and assume that someone else will pick it up. This concept is fairly common in physical settings known as the bystander effect, stating that individuals often do not offer up help to a victim when there are other bystanders preset. Finally in certain situations you'll want to hear the same thing 100 times. Hearing something once doesn't represent how much others echo that. You'll only see so many +1s on a thread, getting 100 individual responses ensure you get not only the breadth of responses but amplitude of them. FWIW, I ran a test of this sending an email to essentially all@heroku, then an individualized email in a similar form. The one directly addressed to people r ## Where to start with developer content DevFeed: [Where to start with developer content]() Original publisher: [Read original article]() Author: Map Published: 2014-01-21T20:55:56Z Content type: opinion Language: en Sources: [Craig Kerstiens]() Topics: [Publishing](), [Reddit](), [X (Twitter)]() Tags: [developer](), [developers](), [engagement](), [hacker-news](), [indexing](), [marketing](), [publishing](), [reddit](), [traffic](), [twitter]() ### AI overview The article discusses how developers and companies can distribute content beyond Hacker News. It compares Hacker News, other news sites, Twitter, and Google Plus, arguing that these channels differ in reach, shelf life, traffic quality, engagement, and indexing speed. ### Source excerpt Getting the word out Hacker News When it comes to marketing, specifically to developers, the most common question is how do I get on Hacker News? The second most commong is, well in addition to there what matters. This fully depends on your audience, and if you really only care about the former versus the broader issue of creating a sustainable model for circulating your content then just read these links then move on. If you want a full model for getting your content out there then keep reading. The best time to post to hacker news How to get on the front page of hacker news More than just Hacker News First off don't get me wrong, HN can provide a great surge of short term traffic. There's a few problems I have with this though. To begin with it gives you one shot to get your message perfect, if you have the wrong message, miss your call to action, or forget an affiliate link then you get your 15k viewers well you get no second shot at it. Though more interestingly and a bit of gut feel, I've noticed that traffic contains more bounes and lower engagement. And then theres the issue that its definitely not a science to getting on there.... Other news sites Of course theres other news sites, ones of relevance include reddit, dzone, monacle. I've found each of these can be similar in some ways to hacker news. Yet, they have a bit longer of a shelf life, giving me a slightly higher propensity to give them some attention. At the same time they also have a smaller reach. Twitter Twitter is yet another method that can work quite well. Observations of it include lower traffic than something like a hacker news, and equal to better engagement overall. Perhaps the most interesting piece I find is that you'll often get more intelligent and also positive discussion on twitter vs. HN. There is one huge fail I find with twitter that nearly every company commits. The author of the post or company twitter handle posts it, then 10 people proceed to retweet it within 10 minutes. The pro ## How eBay Could Have Built a Social Network for Collectors DevFeed: [How eBay Could Have Built a Social Network for Collectors]() Original publisher: [Read original article]() Author: Map Published: 2008-08-08T07:05:21Z Content type: opinion Language: en Sources: [Craig Kerstiens]() Topics: [Users](), [networking](), [amazon]() Tags: [amazon](), [community](), [engagement](), [machine](), [people](), [product](), [sales](), [users]() ### AI overview This opinion article argues that eBay could have used its devoted user base and product-category communities to build an early social network for collectors. The author suggests that user interaction could have increased engagement and sales, offering an alternative to Amazon's machine-learning-based recommendations. ### Source excerpt At a conversation today we got into a discussion about how ebay can compete with amazon. Which alone is enough content for an entire post, as they really aren't playing the same game so not really competing. Instead I'd like to talk about where the conversation progressed to. To me the most interesting thing about ebay isn't how they won the long tail, or how users are unhappy with the increasing costs placed on them. Instead its more at the level of where they really lost out. You see, ebay had a devoted following back around 2000. Millions of people would visit their site, buy items, focus on their feedback rating, often spending time in the same category. While at the time most of this was indeed innovative, they stopped there. If they had only taken it a step futher and exposed the final piece of the puzzle by allowing users to interact with each other. If they had developed a network of users that could communicate with each other, that shared interests based on product categories, they could have easily been one of the largest early social networking sites out there. As facebook initially exploded as a social network for college students, and other more recent ones focusing on younger crowds, meanwhile you have linkedin to as a professional network. Ebay could have very much been the network for collectors, or anyone purchasing similar items. Not only would have this increased user engagement, it would have driven more sales. Take for example if I'm a fan of a particular brand of jeans. I may be very proud of the brand I've found, but recently discovered some that were newer and more hip. Well I'm going to be a bit more hesitant to share that with my friends I hang out with as I want to be the one that's hip versus everyone else having them as well. However if I have a similar community that I connect with online, I can share this information, build a repoire with them, and still maintain my step ahead of friends. It allows your users to become you product rec