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Facebook should ban campaign ads. End the lies.

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Permitting falsehood in political advertising would work if we had a model democracy, but we don’t. Not only are candidates dishonest, but voters aren’t educated, and the media isn’t objective. And now, hyperlinks turn lies into donations and donations into louder lies. The checks don’t balance. What we face is a self-reinforcing disinformation dystopia.

That’s why if Facebook, Twitter, Snapchat and YouTube don’t want to be the arbiters of truth in campaign ads, they should stop selling them. If they can’t be distributed safely, they shouldn’t be distributed at all.

No one wants historically untrustworthy social networks becoming the honesty police, deciding what’s factual enough to fly. But the alternative of allowing deception to run rampant is unacceptable. Until voter-elected officials can implement reasonable policies to preserve truth in campaign ads, the tech giants should go a step further and refuse to run them.

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This problem came to a head recently when Facebook formalized its policy of allowing politicians to lie in ads and refusing to send their claims to third-party fact-checkers. “We don’t believe, however, that it’s an appropriate role for us to referee political debates and prevent a politician’s speech from reaching its audience and being subject to public debate and scrutiny” Facebook’s VP of policy Nick Clegg wrote.

The Trump campaign was already running ads with false claims about Democrats trying to repeal the Second Amendment and weeks-long scams about a “midnight deadline” for a contest to win the one-millionth MAGA hat.

Trump Ad

After the announcement, Trump’s campaign began running ads smearing potential opponent Joe Biden with widely debunked claims about his relationship with Ukraine. Facebook, YouTube and Twitter refused to remove the ad when asked by Biden.

In response to the policy, Elizabeth Warren is running ads claiming Facebook CEO Mark Zuckerberg endorses Trump because it’s allowing his campaign lies. She’s continued to press Facebook on the issue, asking “you can be in the disinformation-for-profit business, or you can hold yourself to some standards.”

It’s easy to imagine campaign ads escalating into an arms race of dishonesty.

Campaigns could advertise increasingly untrue and defamatory claims about each other tied to urgent calls for donations. Once all sides are complicit in the misinformation, lying loses its stigma, becomes the status quo, and ceases to have consequences. Otherwise, whichever campaign misleads more aggressively will have an edge.

“In open democracies, voters rightly believe that, as a general rule, they should be able to judge what politicians say themselves.” Facebook’s Clegg writes.

But as is emblematic of Facebook’s past mistakes, it’s putting too much idealistic faith in society. If all voters were well educated and we weren’t surrounded by hyperpartisan media from Fox News to far-left Facebook Pages, maybe this hands-off approach might work. But in reality, juicy lies spread further than boring truths, and plenty of “news” outlets are financially incentivized to share sensationalism and whatever keeps their team in power.

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Protecting the electorate should fall to legislators. But incumbents have few reasons to change the rules that got them their jobs. The FCC already has truth in advertising policies, but exempts campaign ads and a judge struck down a law mandating accuracy.

Granted, there have always been dishonest candidates, uninformed voters, and one-sided news outlets. But it’s all gotten worse. We’re in a post-truth era now where the spoils won through deceptive demagoguery are clear. Cable news and digitally native publications have turned distortion of facts into a huge business.

Most critically, targeted social network advertising combined with donation links create a perpetual misinformation machine. Politicians can target vulnerable demographics with frightening lies, then say only their financial contribution will let the candidate save them. A few clicks later and the candidate has the cash to buy more ads, amplifying more untruths and raising even more money. Without the friction of having to pick up the phone, mail a letter, or even type in a URL like TV ads request, the feedback loop is shorter and things spiral out of control.

Many countries including the UK, Ireland, and the EU ban or heavily restrict TV campaign ads. There’s plenty of precedent for policies keeping candidates’ money out of the most powerful communication mediums.

Campaign commercials on US television might need additional regulation as well. However, the lack of direct connections to donate buttons, microtargeting, and rapid variable testing weaken their potential for abuse. Individual networks can refuse ads for containing falsehoods as CNN recently did without the same backlash over bias that an entity as powerful as Facebook receives.

This is why the social networks should halt sales of political campaign ads now. They’re the one set of stakeholders with flexibility and that could make a united decision. You’ll never get all the politicians and media to be honest, or the public to understand, but just a few companies could set a policy that would protect democracy from the world’s . And they could do it without having to pick sides or make questionable decisions on a case-by-case basis. Just block them all from all candidates.

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Facebook wrote in response to Biden’s request to block the Trump ads that “Our approach is grounded in Facebook’s fundamental belief in free expression, respect for the democratic process, and the belief that, in mature democracies with a free press, political speech is already arguably the most scrutinized speech there is.”

But banning campaign ads would still leave room for open political expression that’s subject to public scrutiny. Social networks should continue to let politicians say what they want to their own followers, barring calls for violence. Tech giants can offer a degree of freedom of speech, just not freedom of reach. Whoever wants to listen can, but they shouldn’t be able to jam misinformation into the feeds of the unsuspecting.

If the tech giants want to stop short of completely banning campaign ads, they could introduce a format designed to minimize misinformation. Politicians could be allowed to simply promote themselves with a set of stock messages, but without the option to make claims about themselves or their opponents.

Campaign ads aren’t a huge revenue driver for social apps, nor are they a high-margin business nowadays. The Trump and Clinton campaigns spent only a combined $81 million on 2016 election ads, a fraction of Facebook’s $27 billion in revenue that year. $284 million was spent in total on 2018 midterm election ads versus Facebook’s $55 billion in revenue last year, says Tech For Campaigns. Zuckerberg even said that Facebook will lose money selling political ads because of all the moderators it hires to weed out election interference by foreign parties.

Surely, there would be some unfortunate repercussions from blocking campaign ads. New candidates in local to national elections would lose a tool for reducing the lead of incumbents, some of which have already benefited from years of advertising. Some campaign ads might be pushed “underground” where they’re not properly labeled, though the major spenders could be kept under watch.

If the social apps can still offer free expression through candidates’ own accounts, aren’t reliant on politicians’ cash to survive, won’t police specific lies in their promos, and would rather let the government regulate the situation, then they should respectfully decline to sell campaign advertising. Following the law isn’t enough until the laws adapt. This will be an ongoing issue through the 2020 election, and leaving the floodgates open is irresponsible.

If a game is dangerous, you don’t eliminate the referee. You stop playing until you can play safe.

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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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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