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Your Simple Guide to Twitter #Hashtags

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Your Simple Guide to Twitter

There’s no doubt Twitter has changed the world we live in.

From its launch in July 2006 to its current state 13 years later, the microblogging website has become the ultimate news source, outreach platform, meme supplier, political soapbox, and so, so much more to so many people.

One of the many results of Twitter and its growing popularity was the rise of the hashtag.

Twitter infamously helped create the hashtag in 2007, first used by Chris Messina, which changed not just Twitter, but all of social media – and much of the world around it – in a big way.

What Are Hashtags?

A hashtag is a keyword index tool written with a #, or the pound symbol, at the beginning of a series of space-less keyword sets to refer to a specific topic, idea, or trend.

Hashtags are metadata tags consisting of letters and numbers – excluding spaces and punctuation – that categorize keywords and ideas (typically on social media platforms, like Twitter) by turning them into clickable phrases that are indexed with other, related tweets.

After debuting on Twitter thanks to Messina, hashtags flourished, first on Twitter, then on other social media platforms like Instagram, Facebook, and even business-oriented LinkedIn.

Hashtags have become a staple on most social media platforms and are embedded in the everyday fabric of social media.

And, thankfully, they’ve made categorization in a world of data overload easier than ever before.

How to Use Hashtags

Hashtags help categorize content among a plethora of information, thus making it easier than ever before to find and sort specific bits of information as they are published across Twitter.

It has become a legitimate source for breaking news, official statements, campaign launches, and even jarring photos and videos that have led to arrests and accusations, as well as other unexpected, unprecedented, and unbelievable interactions.

When using hashtags – either ones that are already trending or trying to kickstart a new one for a specific reason, campaign or idea – there are basic guidelines to using the right one, at the right time, with the right content. This will limit the potential for unintentional blowback, and later, damage control.

Creating a new hashtag and hopping on an existing one are drastically different moves and need to be handled as such. But they’re both helpful and are skills all quality social media marketers (and Twitter users) should understand.

Creating Hashtags

Creating a hashtag can be tricky.

Like most “viral” content on the web, some of the strangest ones will find a way to break through the surface and become a multi-day Twitter trend.

Others will fall to the wayside with very little effort.

Even the best hashtags benefit from influencer piggybacking, overall timing, and general luck to becoming a common trend on Twitter.

In addition to those aspects, you should follow a few other rules when creating a new hashtag if you want it catch on and become popular.

The three most important rules for creating hashtags are:

Keep It Simple

Keeping it simple is the most important aspect when it comes to creating a hashtag.

If it’s too complicated or elaborate, it will likely not catch on.

It also can’t be so vague that it’s impossible to separate it from other, unrelated hashtags with similar keywords or ideas.

Keep It Memorable

Clever hashtags tend to get legs easier than ones that are not.

If it’s witty and easy to remember, not only will the hashtag likely catch on and be used, but it will also likely have a longer shelf life than a hashtag that is not that memorable.

Give It the ‘Common Sense Check’

This is just as critical as the first two rules for creating hashtags, if not more.

Does the hashtag you’re trying to create make sense?

Can it be confused with another topic or hashtag that has nothing to do with your goal?

Most of all, does it offend, confuse, or lean toward the idea that this isn’t the best hashtag for your unique messaging?

A simple common sense check should help direct you as to whether your newly developed hashtag is going to be a winner or if it’s danger looming.

Using Existing Hashtags

When using hashtags that are already being used by others on the platform, there are some important rules to consider as well, but they are a bit different than those for creating new hashtags.

The three most important rules for using hashtags:

Research the Hashtag Before Adopting It

It may not mean what you think it means.

Your first step to ensuring it is the hashtag you’re looking for is to research it; look at other tweets using the hashtag and make sure they are in line with your thinking.

Too many times, users miss the mark with this one and adopt a hashtag that really means something completely different than what they intend.

Just ask DiGiorno’s Pizza about #WhyIStayed.

Make Sure It’s Relevant

Once you know what it means, make sure it makes sense to use for your messaging. Miss the mark and suffer the consequences.

Be Clever

Be sure to use your wit and personality and put your brand/personal spin on it.

Remember, the right hashtag has been used hundreds or thousands of times before you. This is the chance for you to stand out in a crowded room. Do it!

The biggest aspect of this to realize and remember is that, if hashtags are used incorrectly, it could come back to hurt the brand.

Being associated with a poor user experience is a quick and easy way to lose followers, fans, and even customers.

Potential Hashtag Nightmares

Just like anything else on the internet, there are people who will try to manipulate the system to gain an edge by doing less than others.

When it comes to hashtags, lazy (and bad) marketers will piggyback on popular and trending hashtags to gain increased visibility, sometimes compromising the integrity of the hashtag if misleading tweets aren’t filtered out.

These piggy-backers are rarely, if ever, rewarded. And brands that try it only suffer the backlash of the public, then the history books (i.e., American Apparel’s Hurricane Sandy Sale and other piggybacking disasters).

Like most things in the digital marketing realm, make sure what you’re doing is ethical and sensible. It’s unlikely you’d be penalized for that.

When to Use Hashtags

Hashtags have a time and place to be used, and it can be in every tweet a brand publishes.

It also doesn’t need to be, either.

Be genuine in your messaging and use hashtags to help categorize information, not to manipulate or deceive. Customers will remember it and they know what they want.

Why Use Hashtags

Simply put, hashtags improve your messages’ general visibility on Twitter (typically).

In addition to the increased organic visibility, hashtag users also tend to see increased engagement on the platform, increased brand awareness, and increased customer feedback, among other things, when effectively (and properly) using hashtags – all of which result in increased visibility.

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NEWS

OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

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OpenAI Introduces Fine-Tuning for GPT-4 and Enabling Customized AI Models

OpenAI has today announced the release of fine-tuning capabilities for its flagship GPT-4 large language model, marking a significant milestone in the AI landscape. This new functionality empowers developers to create tailored versions of GPT-4 to suit specialized use cases, enhancing the model’s utility across various industries.

Fine-tuning has long been a desired feature for developers who require more control over AI behavior, and with this update, OpenAI delivers on that demand. The ability to fine-tune GPT-4 allows businesses and developers to refine the model’s responses to better align with specific requirements, whether for customer service, content generation, technical support, or other unique applications.

Why Fine-Tuning Matters

GPT-4 is a very flexible model that can handle many different tasks. However, some businesses and developers need more specialized AI that matches their specific language, style, and needs. Fine-tuning helps with this by letting them adjust GPT-4 using custom data. For example, companies can train a fine-tuned model to keep a consistent brand tone or focus on industry-specific language.

Fine-tuning also offers improvements in areas like response accuracy and context comprehension. For use cases where nuanced understanding or specialized knowledge is crucial, this can be a game-changer. Models can be taught to better grasp intricate details, improving their effectiveness in sectors such as legal analysis, medical advice, or technical writing.

Key Features of GPT-4 Fine-Tuning

The fine-tuning process leverages OpenAI’s established tools, but now it is optimized for GPT-4’s advanced architecture. Notable features include:

  • Enhanced Customization: Developers can precisely influence the model’s behavior and knowledge base.
  • Consistency in Output: Fine-tuned models can be made to maintain consistent formatting, tone, or responses, essential for professional applications.
  • Higher Efficiency: Compared to training models from scratch, fine-tuning GPT-4 allows organizations to deploy sophisticated AI with reduced time and computational cost.

Additionally, OpenAI has emphasized ease of use with this feature. The fine-tuning workflow is designed to be accessible even to teams with limited AI experience, reducing barriers to customization. For more advanced users, OpenAI provides granular control options to achieve highly specialized outputs.

Implications for the Future

The launch of fine-tuning capabilities for GPT-4 signals a broader shift toward more user-centric AI development. As businesses increasingly adopt AI, the demand for models that can cater to specific business needs, without compromising on performance, will continue to grow. OpenAI’s move positions GPT-4 as a flexible and adaptable tool that can be refined to deliver optimal value in any given scenario.

By offering fine-tuning, OpenAI not only enhances GPT-4’s appeal but also reinforces the model’s role as a leading AI solution across diverse sectors. From startups seeking to automate niche tasks to large enterprises looking to scale intelligent systems, GPT-4’s fine-tuning capability provides a powerful resource for driving innovation.

OpenAI announced that fine-tuning GPT-4o will cost $25 for every million tokens used during training. After the model is set up, it will cost $3.75 per million input tokens and $15 per million output tokens. To help developers get started, OpenAI is offering 1 million free training tokens per day for GPT-4o and 2 million free tokens per day for GPT-4o mini until September 23. This makes it easier for developers to try out the fine-tuning service.

As AI continues to evolve, OpenAI’s focus on customization and adaptability with GPT-4 represents a critical step in making advanced AI accessible, scalable, and more aligned with real-world applications. This new capability is expected to accelerate the adoption of AI across industries, creating a new wave of AI-driven solutions tailored to specific challenges and opportunities.

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GOOGLE

This Week in Search News: Simple and Easy-to-Read Update

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This Week in Search News: Simple and Easy-to-Read Update

Here’s what happened in the world of Google and search engines this week:

1. Google’s June 2024 Spam Update

Google finished rolling out its June 2024 spam update over a period of seven days. This update aims to reduce spammy content in search results.

2. Changes to Google Search Interface

Google has removed the continuous scroll feature for search results. Instead, it’s back to the old system of pages.

3. New Features and Tests

  • Link Cards: Google is testing link cards at the top of AI-generated overviews.
  • Health Overviews: There are more AI-generated health overviews showing up in search results.
  • Local Panels: Google is testing AI overviews in local information panels.

4. Search Rankings and Quality

  • Improving Rankings: Google said it can improve its search ranking system but will only do so on a large scale.
  • Measuring Quality: Google’s Elizabeth Tucker shared how they measure search quality.

5. Advice for Content Creators

  • Brand Names in Reviews: Google advises not to avoid mentioning brand names in review content.
  • Fixing 404 Pages: Google explained when it’s important to fix 404 error pages.

6. New Search Features in Google Chrome

Google Chrome for mobile devices has added several new search features to enhance user experience.

7. New Tests and Features in Google Search

  • Credit Card Widget: Google is testing a new widget for credit card information in search results.
  • Sliding Search Results: When making a new search query, the results might slide to the right.

8. Bing’s New Feature

Bing is now using AI to write “People Also Ask” questions in search results.

9. Local Search Ranking Factors

Menu items and popular times might be factors that influence local search rankings on Google.

10. Google Ads Updates

  • Query Matching and Brand Controls: Google Ads updated its query matching and brand controls, and advertisers are happy with these changes.
  • Lead Credits: Google will automate lead credits for Local Service Ads. Google says this is a good change, but some advertisers are worried.
  • tROAS Insights Box: Google Ads is testing a new insights box for tROAS (Target Return on Ad Spend) in Performance Max and Standard Shopping campaigns.
  • WordPress Tag Code: There is a new conversion code for Google Ads on WordPress sites.

These updates highlight how Google and other search engines are continuously evolving to improve user experience and provide better advertising tools.

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FACEBOOK

Facebook Faces Yet Another Outage: Platform Encounters Technical Issues Again

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Facebook Problem Again

Uppdated: It seems that today’s issues with Facebook haven’t affected as many users as the last time. A smaller group of people appears to be impacted this time around, which is a relief compared to the larger incident before. Nevertheless, it’s still frustrating for those affected, and hopefully, the issues will be resolved soon by the Facebook team.

Facebook had another problem today (March 20, 2024). According to Downdetector, a website that shows when other websites are not working, many people had trouble using Facebook.

This isn’t the first time Facebook has had issues. Just a little while ago, there was another problem that stopped people from using the site. Today, when people tried to use Facebook, it didn’t work like it should. People couldn’t see their friends’ posts, and sometimes the website wouldn’t even load.

Downdetector, which watches out for problems on websites, showed that lots of people were having trouble with Facebook. People from all over the world said they couldn’t use the site, and they were not happy about it.

When websites like Facebook have problems, it affects a lot of people. It’s not just about not being able to see posts or chat with friends. It can also impact businesses that use Facebook to reach customers.

Since Facebook owns Messenger and Instagram, the problems with Facebook also meant that people had trouble using these apps. It made the situation even more frustrating for many users, who rely on these apps to stay connected with others.

During this recent problem, one thing is obvious: the internet is always changing, and even big websites like Facebook can have problems. While people wait for Facebook to fix the issue, it shows us how easily things online can go wrong. It’s a good reminder that we should have backup plans for staying connected online, just in case something like this happens again.

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