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R.I.P. to the Top 10 Failed Social Media Sites

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There’s no doubt social media has changed so many lives – not just in America, but throughout the entire world.

Communication, no matter how far away someone else may be (as long as they have a decent internet connection 😊), has become easier than ever.

Marketing has evolved in ways few people expected it to, too.

And yet, social media platforms continue to come and go.

Here is a list of the 10 most legendary social media sites to go by the wayside since the web began.

10. DailyBooth

DailyBooth was a photoblogging site that encouraged users to take a daily picture with a caption.

Similar to modern-day Instagram, the now-defunct photo-oriented social platform launched about a year and half prior to Instagram’s launch, then officially shut down at the end of 2012.

Following its launch in February of 2009, DailyBooth gained popularity when celebrities and influencers began joining the social network, which hit its 1 millionth photo in September 2009.

Less than six months later, it reached 3 million photos uploads and 10 million comments.

In April 2012, Airbnb took over the DailyBooth team to aid in the travel website’s overall mission and at the end of that year, DailyBooth was nothing more than a memory.

9. FriendFeed

FriendFeed

FriendFeed was a social-aggregating website that launched in 2007.

Founded by a group of former Google employees, FriendFeed essentially used other social networks to build its own network, focusing on relevancy and usefulness on those sites then consolidating updates on its platform.

Facebook bought FriendFeed in 2009 for $15 million cash and $32.5 million in stock. The social networking giant closed FriendFeed down for good in April 2015.

8. iTunes Ping

This Apple-owned social networking site had an obvious emphasis on music and was lucky enough to launch with more than 1 million users in 2010.

But even that couldn’t save it.

Launched as a built-in component to iTunes in its 10th edition, the service allowed users to follow artists and get updates from friends and artists about music.

Ping was eventually closed down in 2012 and replaced with social media integration for Facebook and Twitter.

7. Google Wave & Google Buzz

Google Buzz icon

Google Buzz launched in 2010, replacing Google Wave, which launched one year prior in 2009. Each was an attempt by Google to develop a global social media site that could rival Facebook.

Both platforms were designed to allow users to share posts with friends privately or publicly with an extensive list of integration partners that included Twitter, YouTube, Flickr, Blogger, the aforementioned FriendFeed, and more.

Ultimately, Buzz was a giant privacy nightmare and Wave was a complicated mess, so both platforms were doomed to be added to Google’s project graveyard.

6. Meerkat

An innovative video platform that eventually helped propel livestreaming to the top of all of our social feeds, Meerkat ended up being doomed by the big-name social media giants (Facebook and Twitter, namely) after they recreated the idea on their already-established – and multi-faceted – social media channels.

It was only a few weeks after Meerkat’s release that Twitter halted its access to Twitter’s social graph, then acquired rivaling live-video app Periscope and launched it in late March 2015.

Both Facebook and Instagram offer similar features in their apps, with Facebook launching Facebook Live in April 2016

5. Friendster

Friendster

One of the original social networks to make noise before Facebook, Friendster dominated the Asian market since it launched (in 2002).

It was available and used globally, but 90% of its traffic came from Asia. The platform had more unique visitors than any other social network in Asia in 2008.

Friendster ended up evolving into a social gaming site in 2011, touting more than 115 million users mostly from the Philippines, Malaysia, and Singapore.

It officially closed down in 2018 after a three-year hiatus.

4. Yik Yak

Yik Yak

At its peak, Yik Yak was valued at $400 million.

After launching in 2014, the anonymous messaging mobile app gained momentum quickly among young adults, raising more than $70 million in venture capital funding but also a hefty load of problems. Its biggest, one of its main features: its anonymity.

Users – typically high school and college students – could publicly post anything they wanted for other anonymous users in their geographic vicinity to see and interact with. This caused problems for obvious reasons, including bomb threats and hate-fueled acts of violence.

The world of social media was/is already littered with internet bullies and is what oftentimes seems like a cesspool of human interaction – and Yik Yak was only contributing to the strife.

It didn’t take long for the tables to turn. By the end of 2014, Yik Yak was already declining in popularity and usage.

It eventually closed down for good in early 2017.

3. Vine

Vine

A social media legend (and my personal favorite) that helped propel video into the limelight, Vine was another ahead-of-its-time mobile app that helped set the bar for how social media and video could use one another to thrive.

The short-form video app was acquired by Twitter prior to its official launch and ended up becoming the most downloaded free app in the U.S. iOS App Store at its peak in 2013. Up to that point, it was the most popular video app ever to come out.

But it didn’t last long.

Vine was unable to adapt as other rivals (e.g., Snapchat) emerged and adapted. Plus, Twitter’s own business fluttered, which forced Twitter to close Vine in late 2016.

2. Google Plus

The Real History of Google Plus

Another “test” of Google’s, the fate of Google Plus turned out just like so many of Google’s other attempts at building a social network – failure.

A revolutionary platform in the way it helped evolve search while further educating the world of web marketing about authority and entities across the globe, Google Plus turned out to be another failed attempt at dethroning Facebook by a rival social network.

But it wasn’t even a social network at all.

And maybe that’s where a lot of its problems arose.

Google was actually focused on its “identity network” because of plans to be identity service providers for a program run by the federal government.

It offered nothing worthy to its users, and, for that, it is now where it belongs: extinct.

1. MySpace

MySpace

Yes, MySpace still exists.

It has a working URL, an office with employees, and, most importantly, you can sign up for a new account right now.

But this isn’t the same pioneering MySpace that helped spawn social media from what seemed like a few dark basements (it wasn’t) to what ended up being billions of households (and smartphones) across the world.

This is the MySpace that helped shape the digital marketing age of today, catalyzing the success of Facebook even more when it relinquished its title as the most popular social media network to it.

MySpace went from the most visited website in the world in 2006 to losing 10 million unique users in just one month in 2011.

It pivoted itself as the leading social network before reinventing itself as a music-focused network for new artists and less “personal business.”

It hasn’t seemed to work since then.

What’s worse? MySpace keeps shooting itself in the foot. And the latest blunder isn’t one to scoff at. Especially since it tells the same story I tell here: MySpace is dead.

NEWS

What can ChatGPT do?

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ChatGPT Explained

ChatGPT is a large language model developed by OpenAI that is trained on a massive amount of text data. It is capable of generating human-like text and has been used in a variety of applications, such as chatbots, language translation, and text summarization.

One of the key features of ChatGPT is its ability to generate text that is similar to human writing. This is achieved through the use of a transformer architecture, which allows the model to understand the context and relationships between words in a sentence. The transformer architecture is a type of neural network that is designed to process sequential data, such as natural language.

Another important aspect of ChatGPT is its ability to generate text that is contextually relevant. This means that the model is able to understand the context of a conversation and generate responses that are appropriate to the conversation. This is accomplished by the use of a technique called “masked language modeling,” which allows the model to predict the next word in a sentence based on the context of the previous words.

One of the most popular applications of ChatGPT is in the creation of chatbots. Chatbots are computer programs that simulate human conversation and can be used in customer service, sales, and other applications. ChatGPT is particularly well-suited for this task because of its ability to generate human-like text and understand context.

Another application of ChatGPT is language translation. By training the model on a large amount of text data in multiple languages, it can be used to translate text from one language to another. The model is able to understand the meaning of the text and generate a translation that is grammatically correct and semantically equivalent.

In addition to chatbots and language translation, ChatGPT can also be used for text summarization. This is the process of taking a large amount of text and condensing it into a shorter, more concise version. ChatGPT is able to understand the main ideas of the text and generate a summary that captures the most important information.

Despite its many capabilities and applications, ChatGPT is not without its limitations. One of the main challenges with using language models like ChatGPT is the risk of generating text that is biased or offensive. This can occur when the model is trained on text data that contains biases or stereotypes. To address this, OpenAI has implemented a number of techniques to reduce bias in the training data and in the model itself.

In conclusion, ChatGPT is a powerful language model that is capable of generating human-like text and understanding context. It has a wide range of applications, including chatbots, language translation, and text summarization. While there are limitations to its use, ongoing research and development is aimed at improving the model’s performance and reducing the risk of bias.

** The above article has been written 100% by ChatGPT. This is an example of what can be done with AI. This was done to show the advanced text that can be written by an automated AI.

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Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster

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Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.

Google December 2021 Product Reviews Update

On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.

The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.

A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:

“Mainly relevant to sites that post articles reviewing products.

Think of sites like “best TVs under $200″.com.

Goal is to improve the quality and usefulness of reviews we show users.”

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Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.

The first best practice was a requirement of evidence that a product was actually handled and reviewed.

The second best practice was to provide links to more than one place that a user could purchase the product.

The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.

Google’s Mueller Thinking About Product Reviews Update

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Screenshot of Google's John Mueller trying to recall if December Product Review Update affects more than the English language

Product Review Update Targets More Languages?

The person asking the question was rightly under the impression that the product review update only affected English language search results.

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But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.

This is his question:

“I was seeing some movements in German search as well.

So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.

…My question is, is it possible that the product reviews update affects other sites as well?”

John Mueller answered:

“I don’t know… like other languages?

My assumption was this was global and and across all languages.

But I don’t know what we announced in the blog post specifically.

But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.

I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.

But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.

And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.

So I’m not particularly surprised that you see changes in Germany.

But I also don’t know what we actually announced with regards to the locations and languages that are involved.”

Does Product Reviews Update Affect More Languages?

While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.

Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.

One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.

It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.

Citations

Google Blog Post About Product Reviews Update

Product reviews update and your site

Google’s New Product Reviews Guidelines

Write high quality product reviews

John Mueller Discusses If Product Reviews Update Is Global

Watch Mueller answer the question at the 14:00 Minute Mark

[embedded content]

Searchenginejournal.com

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Survey says: Amazon, Google more trusted with your personal data than Apple is

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survey-says:-amazon,-google-more-trusted-with-your-personal-data-than-apple-is-–-phonearena
 

MacRumors reveals that more people feel better with their personal data in the hands of Amazon and Google than Apple’s. Companies that the public really doesn’t trust when it comes to their personal data include Facebook, TikTok, and Instagram.

The survey asked over 1,000 internet users in the U.S. how much they trusted certain companies such as Facebook, TikTok, Instagram, WhatsApp, YouTube, Google, Microsoft, Apple, and Amazon to handle their user data and browsing activity responsibly.

Amazon and Google are considered by survey respondents to be more trustworthy than Apple

Those surveyed were asked whether they trusted these firms with their personal data “a great deal,” “a good amount,” “not much,” or “not at all.” Respondents could also answer that they had no opinion about a particular company. 18% of those polled said that they trust Apple “a great deal” which topped the 14% received by Google and Amazon.

However, 39% said that they trust Amazon  by “a good amount” with Google picking up 34% of the votes in that same category. Only 26% of those answering said that they trust Apple by “a good amount.” The first two responses, “a great deal” and “a good amount,” are considered positive replies for a company. “Not much” and “not at all” are considered negative responses.

By adding up the scores in the positive categories,

Apple tallied a score of 44% (18% said it trusted Apple with its personal data “a great deal” while 26% said it trusted Apple “a good amount”). But that placed the tech giant third after Amazon’s 53% and Google’s 48%. After Apple, Microsoft finished fourth with 43%, YouTube (which is owned by Google) was fifth with 35%, and Facebook was sixth at 20%.

Rounding out the remainder of the nine firms in the survey, Instagram placed seventh with a positive score of 19%, WhatsApp was eighth with a score of 15%, and TikTok was last at 12%.

Looking at the scoring for the two negative responses (“not much,” or “not at all”), Facebook had a combined negative score of 72% making it the least trusted company in the survey. TikTok was next at 63% with Instagram following at 60%. WhatsApp and YouTube were both in the middle of the pact at 53% followed next by Google and Microsoft at 47% and 42% respectively. Apple and Amazon each had the lowest combined negative scores at 40% each.

74% of those surveyed called targeted online ads invasive

The survey also found that a whopping 82% of respondents found targeted online ads annoying and 74% called them invasive. Just 27% found such ads helpful. This response doesn’t exactly track the 62% of iOS users who have used Apple’s App Tracking Transparency feature to opt-out of being tracked while browsing websites and using apps. The tracking allows third-party firms to send users targeted ads online which is something that they cannot do to users who have opted out.

The 38% of iOS users who decided not to opt out of being tracked might have done so because they find it convenient to receive targeted ads about a certain product that they looked up online. But is ATT actually doing anything?

Marketing strategy consultant Eric Seufert said last summer, “Anyone opting out of tracking right now is basically having the same level of data collected as they were before. Apple hasn’t actually deterred the behavior that they have called out as being so reprehensible, so they are kind of complicit in it happening.”

The Financial Times says that iPhone users are being lumped together by certain behaviors instead of unique ID numbers in order to send targeted ads. Facebook chief operating officer Sheryl Sandberg says that the company is working to rebuild its ad infrastructure “using more aggregate or anonymized data.”

Aggregated data is a collection of individual data that is used to create high-level data. Anonymized data is data that removes any information that can be used to identify the people in a group.

When consumers were asked how often do they think that their phones or other tech devices are listening in to them in ways that they didn’t agree to, 72% answered “very often” or “somewhat often.” 28% responded by saying “rarely” or “never.”

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