Showing posts with label SocialMediaGrowth. Show all posts
Showing posts with label SocialMediaGrowth. Show all posts

Wednesday, October 14, 2026

How Social Media Algorithms ‘Flatten’ Our Culture By Making Decisions For Us

(Getty Images)

If you opened Facebook, Twitter or Instagram about a decade ago, you’d likely see posts from friends and family, in chronological order. Nowadays, users are hit with a barrage of content curated by an algorithm. Passionate about plants? Sports? Cats? Politics? That’s what you’re going to see. “[There] are equations that measure what you’re doing, surveil the data of all the users on these platforms and then try to predict what each person is most likely to engage with,” New Yorker writer Kyle Chayka explains. “So rather than having this neat, ordered feed, you have this feed that’s constantly trying to guess what you’re going to click on, what you’re going to read, what you’re going to watch or listen to.”………Continue reading…

By: Tonya Mosley

Source: NPR & Houston Public Media

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Critics:

Any step-by-step process that is completed the same way every time is an algorithm. A good example of this in everyday life is tying your shoes. There are a limited number of steps that effectively result in a traditional shoelace know (known as the “bunny rabbit” or “loop, swoop and pull” knot). An algorithm is a procedure used for solving a problem or performing a computation.

Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. Algorithms are widely used throughout all areas of IT. A social media algorithm is a complex set of rules and calculations used by social media platforms to prioritize the content that users see in their feeds. Past user behavior, content relevance, and the popularity of posts are some of the vital algorithm factors taken into account by different social media platforms.

An algorithm is a set of instructions that is designed to accomplish a task. Algorithms usually take one or more inputs, run them systematically through a series of steps, and provide one or more outputs. Typically, algorithms are executed by computers, but we also rely on algorithms in our daily lives. Each time we follow a particular step-by-step process, like making coffee in the morning or tying our shoelaces, we are in fact following an algorithm.

Simply put, an algorithm is a set of steps used to solve a specific problem. While algorithms often appear in computer science or coding contexts, an algorithm can be as straightforward as the process for making a peanut butter and jelly sandwich. Algorithm (noun as in formula) Strong matches. blueprint canon code credo creed custom description direction equation form formulary maxim method precept prescription principle procedure rite ritual rote rubric specifications theorem way.

Algorithms are used to find the best possible way to solve a problem, based on data storage, sorting and processing, and machine learning. In doing so, they improve the efficiency of a program. Algorithms are used in all areas of computing. Facebook, Instagram, and YouTube are considered to be the top social media platforms with the strongest algorithms. These platforms use advanced algorithms to personalize content for users, surface relevant content, and combat misinformation and hate speech.

The Facebook algorithm uses programming rules and machine learning to decide what you see in your Facebook Feed. It selects posts, Stories, and ads based on your interactions, the type of content, and how recent the posts are, aiming to give you a personalized and engaging experience. An algorithm is a set of commands that must be followed for a computer to perform calculations or other problem-solving operations.

According to its formal definition, an algorithm is a finite set of instructions carried out in a specific order to perform a particular task. Algorithms manage several tasks which would be tedious for humans to carry out, such as managing flows of content through active recommendations as well as negative shadow bans and mediating interaction with information through likes and comments to improve content discoverability.

Algorithms first taught us how to count, sort, walk, and tie our shoes. Almost all processes are taught to us with step-by-step instructions. Essentially, we are learning algorithmic thinking to work through problem-solving. See your data work for you. The oldest recorded non-trivial algorithm is the Euclidean algorithm for the greatest common divisor of two positive integers. The algorithm is as follows. Let a > b be positive integers. divide a by b and find the remainder 

E-commerce Product Sorting: Websites like Amazon use sorting algorithms to display products based on price, popularity, or relevance. When you sort items from low to high price, a sorting algorithm rearranges the products to match your preference. Algorithms are used in every part of computer science. They form the field’s backbone. In computer science, an algorithm gives the computer a specific set of instructions, which allows the computer to do everything, be it running a calculator or running a rocket.

Some of the disadvantages of an algorithm are: Branching and looping are complicated in algorithms. Understanding complex logic via algorithms can be challenging. Algorithms take time to develop, and large tasks are difficult to incorporate into algorithms. While all of these factors can make it seem like social media algorithms are reading your mind, the truth is that they are simply using data and machine learning to make predictions about what content you are most likely to engage with.

An algorithm is a procedure used for solving a problem or performing a computation. Algorithms act as an exact list of instructions that conduct specified actions step by step in either hardware- or software-based routines. Algorithms are widely used throughout all areas of IT.

Tradition hires Michel Everaert to integrate data science and AI FinanceFeeds 12:51 Fri, 26 Apr 

UI computer science department to become Siebel School of Computing and Data Science News-Gazette, Illinois 13:18 Thu, 25 Apr 

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Wednesday, October 7, 2026

BuyerEngine AI The New Reddit Buyer Hunter Conversation Method To Find Traffic

BuyerEngine AI is an AI-powered Reddit prospecting platform designed to help identify conversations that may contain strong buyer intent. The basic concept is simple. Imagine that you have a product that solves a particular problem. You could manually search Reddit every day using different keywords, open individual threads, read the conversations, determine whether somebody actually needs a solution, check the community rules, write a response, and then keep track of promising leads.

That process can become repetitive very quickly. BuyerEngine AI attempts to bring those steps together. You start by entering the URL of your offer or website. The platform analyzes the information and creates a buyer profile based on what you are offering. It then attempts to determine how potential customers might describe their problems in ordinary language. This distinction is important because people don’t always use the terminology found on a product’s sales page.

Someone selling a lead-generation tool might describe it using terms such as “customer acquisition” or “prospecting.” A Reddit user, however, might simply ask: “How can I find more clients without spending all day sending cold messages?” Both conversations can point toward the same underlying problem. BuyerEngine AI is designed to look for that type of language.

How BuyerEngine AI Works:

  • Add Your Offer:  The process begins by providing the URL of the product, service, or offer you want to promote. BuyerEngine AI analyzes that information and attempts to understand what the offer does, what problem it solves, and what type of person could potentially benefit from it.
  • Build a Buyer Profile: The platform then creates a buyer profile. This profile is intended to describe the type of person who would be most relevant to the offer. Rather than searching for every possible Reddit mention, the system uses this profile to guide its discovery process.
  •  Identify Search Language: The next stage is particularly interesting. BuyerEngine AI attempts to determine the phrases and language that potential buyers might actually use when discussing their problems. This is useful because a prospect may never mention the exact name of the solution they need.
  •  Find Relevant Reddit Conversations: The platform then hunts for conversations that appear related to the buyer profile and search language. The resulting opportunities can be evaluated using buyer-intent scores.
  • Review and Respond:  After identifying a relevant conversation, the AI Reply Writer can help create a response based on the actual discussion.

The user can review the generated response before posting. They may instead describe symptoms of the problem. For example, somebody who needs an email marketing platform may ask why their newsletter isn’t generating responses. A person looking for a scheduling tool may ask how to stop constantly going back and forth with clients to arrange appointments.

Those conversations can be more valuable than simple product-name searches because the person is discussing the underlying need. This creates a workflow that goes from offer → buyer profile → conversation discovery → intent evaluation → response creation. Buyer-intent scoring is one of the most important features in the platform.

Not every Reddit discussion has the same value. Someone casually mentioning a problem is different from someone actively asking for recommendations. BuyerEngine AI attempts to distinguish between those situations by assigning an intent score out of 100. Examples shown in the supplied material include scores such as 87/100, 93/100, and 81/100.

The important point is that these scores should be treated as a prioritization system rather than a prediction of guaranteed results. A conversation receiving a 93/100 score does not mean the person will definitely purchase something. It means the system considers that conversation to show stronger signals of potential buyer intent.

The platform also provides an explanation for why a conversation received its score. That can make the feature more useful than simply showing a number. You can look at the conversation yourself and decide whether the opportunity genuinely makes sense. For Reddit prospecting, that human review is still important.

AI can identify patterns, but it cannot perfectly understand every joke, disagreement, community culture, personal preference, or subtle part of a conversation…….

Source: BuyerEngine AI

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