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Google Offers Advice on Top Ranked Spammy Competitors

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Google Offers Advice on Top Ranked Spammy Competitors

A Google Search Off the Record podcast involving a member of Google’s search quality team addressed the question of what to do when competitors are seemingly ranking well because of spammy tactics.

Google’s John Mueller in conversation with Duy Nguyen of Google’s Search Quality team mentioned how he’s often asked about what to do when sites that obey Google’s webmaster guidelines are outranked by sites that violate those guidelines.

There is an element of unfairness that can cause a publisher to consider joining in the spammy tactics.

What to Do When Spammy Competitors Keep Winning

Google’s Duy Nguyen answered what’s really going on when spammy competitors seem to be doing well because of those low quality tactics.

[00:22:30] John Mueller:

“One question I always get, where maybe you have some insights or some tips as well, is what if a competitor of mine were doing something spammy or maybe they’re just keyword stuffing on their pages or they’re creating some a doorway page, and I know that this is spammy because I read the web master guidelines.

And my competitor is getting away with it. They’re ranking right above me.

What could I do there?

Is that something where I can report them to, I don’t know, the spam police and they’ll take care of it for me?

What are the options? Is it even something where I can do anything about it?”

[00:23:10] Duy Nguyen:

“Yeah, I would say that a lot of times, maybe the competitor is not necessarily ranking well because they do spam.

But there are so many factors when it comes to ranking. I’m sure Gary will touch on them. But if you’re really concerned about that, you can report them to us. We have a spam report that we review pretty frequently.

So yeah, please send us a spam report. You can also seek help in the Support Forum, the Web Master Help Forum. And then, yeah, we would also be able to take a look.”

Don’t Follow Competitor’s Spammy Tactics

Mueller expressed sympathy for publishers who see competitors seemingly benefiting from spammy tactics.

Duy Nguyen answers with a reminder that just because a competitor is doing something doesn’t mean that’s the reason they are ranking.

[00:23:42] John Mueller:

“…I don’t know, I always feel a bit sorry for people who’re seeing that kind of thing, where they’re almost stuck in a situation where they’re thinking, “Well, maybe I should be spamming as well so that I can rank above my competitor who is spamming.”

But that always feels like a bad idea. “

[00:24:03] Duy Nguyen:

“Yeah, if everyone was doing that, then where does that leave the users? Will they have good user experience and good content to consume?

I really don’t think that’s a solution. I think everyone should be focusing on doing what’s right and doing what’s best for, not just your website, but for your users.

If you focus too much on a single metric or something that you think that would, for some reason, propel your sites, most of the time it would lead to a pretty negative outcome.”

[00:24:35] John Mueller:

“I think it’s also, like you said, one of those things where you don’t even know if it will actually help your site.

And potentially, it’ll just harm your site and then you’re just digging a bigger hole for yourself rather than working on something positive for your website to improve things for the long run.”

Spam Not Likely the Reason for Competitor Rankings

A common mistake in competitor analysis is to assume that a competitor’s spammy tactics are the reason for their high rankings. It’s important to remember that Google’s algorithm is a closed box, which means we cannot accurately say why Google ranks any site.

Is a site ranking because of the links? There are some algorithms that re-rank the top ten search results and promote sites with low ranking factor scores to the top of the search results because the content is relevant.

In that kind of situation it’s the content and not the spammy tactics that are the reason.

The best a publisher can do is to report a spammy competitor to Google and evaluate what kinds of things can be done to better promote the website.

Citation

Tackling Web Spam, Search Quality, and More!

Searchenginejournal.com

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Exploring the Evolution of Language Translation: A Comparative Analysis of AI Chatbots and Google Translate

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A Comparative Analysis of AI Chatbots and Google Translate

According to an article on PCMag, while Google Translate makes translating sentences into over 100 languages easy, regular users acknowledge that there’s still room for improvement.

In theory, large language models (LLMs) such as ChatGPT are expected to bring about a new era in language translation. These models consume vast amounts of text-based training data and real-time feedback from users worldwide, enabling them to quickly learn to generate coherent, human-like sentences in a wide range of languages.

However, despite the anticipation that ChatGPT would revolutionize translation, previous experiences have shown that such expectations are often inaccurate, posing challenges for translation accuracy. To put these claims to the test, PCMag conducted a blind test, asking fluent speakers of eight non-English languages to evaluate the translation results from various AI services.

The test compared ChatGPT (both the free and paid versions) to Google Translate, as well as to other competing chatbots such as Microsoft Copilot and Google Gemini. The evaluation involved comparing the translation quality for two test paragraphs across different languages, including Polish, French, Korean, Spanish, Arabic, Tagalog, and Amharic.

In the first test conducted in June 2023, participants consistently favored AI chatbots over Google Translate. ChatGPT, Google Bard (now Gemini), and Microsoft Bing outperformed Google Translate, with ChatGPT receiving the highest praise. ChatGPT demonstrated superior performance in converting colloquialisms, while Google Translate often provided literal translations that lacked cultural nuance.

For instance, ChatGPT accurately translated colloquial expressions like “blow off steam,” whereas Google Translate produced more literal translations that failed to resonate across cultures. Participants appreciated ChatGPT’s ability to maintain consistent levels of formality and its consideration of gender options in translations.

The success of AI chatbots like ChatGPT can be attributed to reinforcement learning with human feedback (RLHF), which allows these models to learn from human preferences and produce culturally appropriate translations, particularly for non-native speakers. However, it’s essential to note that while AI chatbots outperformed Google Translate, they still had limitations and occasional inaccuracies.

In a subsequent test, PCMag evaluated different versions of ChatGPT, including the free and paid versions, as well as language-specific AI agents from OpenAI’s GPTStore. The paid version of ChatGPT, known as ChatGPT Plus, consistently delivered the best translations across various languages. However, Google Translate also showed improvement, performing surprisingly well compared to previous tests.

Overall, while ChatGPT Plus emerged as the preferred choice for translation, Google Translate demonstrated notable improvement, challenging the notion that AI chatbots are always superior to traditional translation tools.


Source: https://www.pcmag.com/articles/google-translate-vs-chatgpt-which-is-the-best-language-translator

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Google Implements Stricter Guidelines for Mass Email Senders to Gmail Users

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Beginning in April, Gmail senders bombarding users with unwanted mass emails will encounter a surge in message rejections unless they comply with the freshly minted Gmail email sender protocols, Google cautions.

Fresh Guidelines for Dispatching Mass Emails to Gmail Inboxes In an elucidative piece featured on Forbes, it was highlighted that novel regulations are being ushered in to shield Gmail users from the deluge of unsolicited mass emails. Initially, there were reports surfacing about certain marketers receiving error notifications pertaining to messages dispatched to Gmail accounts. Nonetheless, a Google representative clarified that these specific errors, denoted as 550-5.7.56, weren’t novel but rather stemmed from existing authentication prerequisites.

Moreover, Google has verified that commencing from April, they will initiate “the rejection of a portion of non-compliant email traffic, progressively escalating the rejection rate over time.” Google elaborates that, for instance, if 75% of the traffic adheres to the new email sender authentication criteria, then a portion of the remaining non-conforming 25% will face rejection. The exact proportion remains undisclosed. Google does assert that the implementation of the new regulations will be executed in a “step-by-step fashion.”

This cautious and methodical strategy seems to have already kicked off, with transient errors affecting a “fraction of their non-compliant email traffic” coming into play this month. Additionally, Google stipulates that bulk senders will be granted until June 1 to integrate “one-click unsubscribe” in all commercial or promotional correspondence.

Exclusively Personal Gmail Accounts Subject to Rejection These alterations exclusively affect bulk emails dispatched to personal Gmail accounts. Entities sending out mass emails, specifically those transmitting a minimum of 5,000 messages daily to Gmail accounts, will be mandated to authenticate outgoing emails and “refrain from dispatching unsolicited emails.” The 5,000 message threshold is tabulated based on emails transmitted from the same principal domain, irrespective of the employment of subdomains. Once the threshold is met, the domain is categorized as a permanent bulk sender.

These guidelines do not extend to communications directed at Google Workspace accounts, although all senders, including those utilizing Google Workspace, are required to adhere to the updated criteria.

Augmented Security and Enhanced Oversight for Gmail Users A Google spokesperson emphasized that these requisites are being rolled out to “fortify sender-side security and augment user control over inbox contents even further.” For the recipient, this translates to heightened trust in the authenticity of the email sender, thus mitigating the risk of falling prey to phishing attempts, a tactic frequently exploited by malevolent entities capitalizing on authentication vulnerabilities. “If anything,” the spokesperson concludes, “meeting these stipulations should facilitate senders in reaching their intended recipients more efficiently, with reduced risks of spoofing and hijacking by malicious actors.”

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Google’s Next-Gen AI Chatbot, Gemini, Faces Delays: What to Expect When It Finally Launches

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Google AI Chatbot Gemini

In an unexpected turn of events, Google has chosen to postpone the much-anticipated debut of its revolutionary generative AI model, Gemini. Initially poised to make waves this week, the unveiling has now been rescheduled for early next year, specifically in January.

Gemini is set to redefine the landscape of conversational AI, representing Google’s most potent endeavor in this domain to date. Positioned as a multimodal AI chatbot, Gemini boasts the capability to process diverse data types. This includes a unique proficiency in comprehending and generating text, images, and various content formats, even going so far as to create an entire website based on a combination of sketches and written descriptions.

Originally, Google had planned an elaborate series of launch events spanning California, New York, and Washington. Regrettably, these events have been canceled due to concerns about Gemini’s responsiveness to non-English prompts. According to anonymous sources cited by The Information, Google’s Chief Executive, Sundar Pichai, personally decided to postpone the launch, acknowledging the importance of global support as a key feature of Gemini’s capabilities.

Gemini is expected to surpass the renowned ChatGPT, powered by OpenAI’s GPT-4 model, and preliminary private tests have shown promising results. Fueled by significantly enhanced computing power, Gemini has outperformed GPT-4, particularly in FLOPS (Floating Point Operations Per Second), owing to its access to a multitude of high-end AI accelerators through the Google Cloud platform.

SemiAnalysis, a research firm affiliated with Substack Inc., expressed in an August blog post that Gemini appears poised to “blow OpenAI’s model out of the water.” The extensive compute power at Google’s disposal has evidently contributed to Gemini’s superior performance.

Google’s Vice President and Manager of Bard and Google Assistant, Sissie Hsiao, offered insights into Gemini’s capabilities, citing examples like generating novel images in response to specific requests, such as illustrating the steps to ice a three-layer cake.

While Google’s current generative AI offering, Bard, has showcased noteworthy accomplishments, it has struggled to achieve the same level of consumer awareness as ChatGPT. Gemini, with its unparalleled capabilities, is expected to be a game-changer, demonstrating impressive multimodal functionalities never seen before.

During the initial announcement at Google’s I/O developer conference in May, the company emphasized Gemini’s multimodal prowess and its developer-friendly nature. An application programming interface (API) is under development, allowing developers to seamlessly integrate Gemini into third-party applications.

As the world awaits the delayed unveiling of Gemini, the stakes are high, with Google aiming to revolutionize the AI landscape and solidify its position as a leader in generative artificial intelligence. The postponed launch only adds to the anticipation surrounding Gemini’s eventual debut in the coming year.

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