If Twitter “shadow banned” your profile today you would never know that you’re banned. However, there are some third-party websites or tools that can help users know whether their accounts are banned or hidden in searches.
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Twitter has denied for years that it shadow banned accounts. But billionare owner Elon Musk revealed recently that the company is working on new software updates that show users their “true account status”, whether they are shadow banned or not and why.
The admission is significant. It illustrates the amount of power reposed in just one social media company used by ten of millions of people everyday. And how Twitter has used, or abused, that power to silence views and opinions that did not favor its cause.
Twitter is working on a software update that will show your true account status, so you know clearly if you’ve been shadowbanned, the reason why and how to appeal
— Elon Musk (@elonmusk) December 9, 2022
What is a shadow ban?
A shadow ban could be described as a ban which is not a ban. Soft-touch censorship if you like. Twitter will typically block or blacklist an account in part, without actually banning it outright. A user will never know their account has been shadow banned.
The ban “may lead to less engagement with the account and low visibility of posts,” according to experts. Free Press founder Bari Weiss alleges that Twitter shadow banned some accounts to “prevent disfavored tweets from trending.”
She highlighted the account of prominent Stanford scholar Jay Bhattacharya, who argued “that Covid lockdowns would harm children.” Weiss said Twitter placed the account in a secret “Trends Blacklist,” along with several other conservative-leaning accounts.
Weiss said Twitter executives and employees refer to shadow banning as “Visibility Filtering” or “VF”. But Sachee, a former worker at Twitter, posted on the platform that VF simply means hiding content from one’s timeline. The tool is already available to users.
3. Take, for example, Stanford’s Dr. Jay Bhattacharya (@DrJBhattacharya) who argued that Covid lockdowns would harm children. Twitter secretly placed him on a “Trends Blacklist,” which prevented his tweets from trending. pic.twitter.com/qTW22Zh691
— Bari Weiss (@bariweiss) December 9, 2022
In 2018, former Twitter head of policy Vijaya Gadde denied allegations the company shadow banned accounts.
“We do not shadow ban,” Gadde wrote in a blog post. “You are always able to see the tweets from accounts you follow (although you may have to do more work to find them, like go directly to their profile). And we certainly don’t shadow ban based on political viewpoints or ideology.”
Shadow banned: How to check your Twitter account status
Twitter has not provided details about its impending software and how it will help users know whether their accounts are banned or hidden in searches. However, there are some third-party websites that can help you to do so.
Shadowban.yuzurisa.com is a free tool that allows users to check if their Twitter accounts have been restricted without their knowledge. We tested the tool. As seen in the picture below, it requires that you enter your handle into the search bar and click ‘check’.
Once done, the website will query Twitter for four areas of potential shadow bans: search suggestion ban, search ban, ghost ban and reply deboosting. The test results turn in within seconds (as seen in the picture below).
Our test results show that the username @jeffgogo3 is, at the moment, not affected by any of the four Twitter shadow bans for which we tested. A negative result would highlight the specific type of ban in red, showing users if their account is hidden in searches.
A user can repeat this process at different times of the day or week to check whether they are still on Twitter’s good side. Several accounts, including that of Stanford’s Jay Bhattacharya, have found themselves on the wrong side.
How does the Shadowban Yuzurisa test work?
Yuzurisa explains that the Twitter search features several search modifiers. One such modifier is “the prefix from: which allows to search for tweets from a specific user,” it says. This is what the website uses to test for the “search” shadow ban.
“For example, when checking whether @shadowban_eu has a shadowban, we query the Twitter search for from:@shadowban_eu . If we do not find any tweets although the user has tweeted in the past, the account is subject to a search ban,” said Yuzurisa.
For the thread ban, Yuzurisa said, “when the user has a search ban, the tester searches their profile for the latest tweet with at least one reply. It then visits the direct URL of the tweet and selects some reply tweet.”
After that, “the direct URL of the reply tweet is visited. If the tweet that the user replied to is not visible, the likelihood that the account is affected by a thread shadowban is very high.” In the past, the website also tested for bans involving quality filter discrimination, or QFD.
Introduced by Twitter in May 2018 as part of the firm’s so-called healthy conversation project, QFD “caused your tweets to be invisible within the latest section of the search, including hashtags…” The filter turned on by default and would reset for each new search, it adds.
However, Yuzurisa discontinued the QFD ban test because “the quality filter seems to have no effect indeed.” However, “this is not a verification that users are not classified anymore by this algorithm. We just cannot observe it anymore through the quality filter.”
With the software upgrade promised by Elon Musk, Twitter hopes that it will provide more clarity on why accounts are shadow banned and how users can appeal the decision.
Americans Turn to Artificial Intelligence to Curb Gun Violence
The alarming rate of gun violence in the United States in 2023 has led to increased calls for more gun safety measures. But with that unlikely to happen anytime soon, individuals and organizations have been turning to other alternatives, including artificial intelligence (AI).
In recent years, artificial intelligence has emerged as one of the possible solutions. The growing interest in the technology is primarily due to its promise of detecting shooters and preventing violence.
The CEO of Omnilert, a security company, Dave Fraser, said the technology represents a breakthrough in how AI is used to further human protection.
How AI helps
Most of the technologies currently offered by security companies using AI rely on detection by using high-tech cameras to identify suspects, predictive algorithms that flag potential shooters, and metal detectors capable of seeing hidden guns.
According to companies in the sector, using security cameras equipped with AI can make up for the errors of security officers. Watching multiple video screens while trying to identify threats leaves margins for error.
But artificial intelligence boasts better accuracy, distinguishing between identifying potential mass shooters minutes or seconds before they strike.
Given how ubiquitous security cameras are today, improving them with AI to become more effective in preventing mass shootings seems like a no-brainer.
But some experts are concerned about how the impacts on privacy, especially since the effectiveness of the products remains questionable. Most AI security companies don’t provide independently verified data about the accuracy of their products.
Speaking to ABC News, the senior policy analyst at ACLU Speech, Privacy, and Technology Project, Jay Stanley, said:
“If you’re going to trade your privacy and freedom for security, the first question you need to ask is: Are you getting a good deal?”
Besides that, a lawyer for the Electronic Privacy Information Center in Washington, Jake Wiener, said:
‘The biggest concern with these systems is false positives when the system wrongly identifies someone who isn’t actually holding a gun.”
A false positive is a situation where an innocent individual can be wrongly profiled as a mass shooter.
Market rises for AI tools
But such misgivings are unlikely to deter interest in the sector. The high rate of mass shootings in recent years has led potential targets, such as schools, offices, retailers, etc., to consider AI security.
Data from the National Center for Education Statistics show that 83% of public schools use security cameras as of the 2017-18 school year. The Southeastern Pennsylvania Transportation Authority has recently begun an artificial intelligence-based gun detection program.
With the rising interest, Future Market Insights projects that the market for high-tech products capable of detecting concealed weapons will be worth $1.2 billion by 2031, almost twice the $630 million it was in 2022.
Meanwhile, several companies are already establishing themselves in the sector. One of them is Austin-based Scylla which offers AI that helps security cameras identify concealed weapons and suspicious activity.
The system notifies officials when it identifies any threat and can immediately lock doors and deny access. The vice president of the company Kris Greiner noted that such a system could have a significant impact on ensuring safety. Other companies, such as Zero Eyes, focus on gun detection.
China Catches Up On Quantum Computers, Makes 1st Delivery
China has officially caught up with Canada and USA in the race to deliver a complete quantum computer system to a customer according to a state media report.
Chinese quantum computing company, Origin Quantum Computing Technology developed a 24-qubit Wuyuan system before delivery to an unknown user more than a year ago, the science ministry’s Science and Technology Daily reported.
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According to Origin Quantum, they are the only Chinese company in the quantum computing industry that can deliver real quantum computers as well as full-stack development and follow up services.
According to a statement sent to the Global Times on Monday by East China’s Anhui Province based Quantum Computing Research Centre, the group developed the computer and successfully delivered it to a user.
“More than 100 quantum computing companies in the world have put enormous investment into quantum research and development. Canada’s quantum computing company sold its first quantum computer in 2011, followed by IBM of the US in 2019.
“Chinese Origin Quantum delivered a quantum computer in 2021,” Zhang Hui, director of the Anhui Quantum Computing Engineering Research Center was quoted as saying.
Eyebrow raising announcement
The announcement by Chinese state media has raised eyebrows among skeptics questioning its timing.
Weifeng Zhong, a senior research fellow at the Mercatus Center of George Mason University in Fairfax, Va told TechNewsWorld that this could be a gimmick to just show China as a tech giant with a transparent administration.
“Quantum technology has a high priority for national security in China. If this were something very important, I doubt it would be disclosed like this in a transparent way by Chinese authorities,” explained Zhong.
“The fact that it was delayed for a year suggests that they realize now that it’s not important to national security, so they’re trying to use it to build China’s image as a technology leader at a time when they’re trying to open up their economy to the rest of the world,” added Zhong.
But what is quantum computing?
A quantum computer is a type of computer that uses quantum mechanics to store and process data, as opposed to classical computers that use classical mechanics. Quantum computers use quantum bits (qubits), which can exist in multiple states at once, to perform computations that are not possible on classical computers, making them particularly well-suited for certain types of complex calculations.
The 24-qubit Wuyuan quantum computer based on superconducting technology developed by the same company becomes the third to be delivered to customers after Canada in 2011 and USA’s IBM in 2019.
Superconducting technology is currently one of the most mature and well-developed implementations of quantum computing, and many companies and research organizations are working to develop and commercialize superconducting quantum computers. Superconducting technology is one of the main implementations of quantum computing.
In superconducting quantum computers, quantum bits (qubits) are made from tiny electrical circuits that are cooled to very low temperatures, close to absolute zero, in order to minimize the amount of thermal energy and increase their coherence time, which is the time during which a qubit can maintain its quantum state.
What does China offer in its quantum computers
Speed: Quantum computers can perform certain operations much faster than classical computers, which can greatly speed up complex computations.
Parallel processing: Quantum computers can perform multiple calculations simultaneously, which allows for more efficient processing of large amounts of data.
Simulating complex systems: Quantum computers can be used to simulate complex systems, such as molecules and materials, which can lead to new discoveries in fields such as chemistry and materials science.
Cryptography: Quantum computers can be used to break certain encryption algorithms, which makes them useful for developing new, more secure encryption methods.
Optimization problems: Quantum computers can be used to solve complex optimization problems, such as logistics and scheduling problems, which have many potential real-world applications.
OpenAI Develops Tool to Spot AI-Written Texts
OpenAI, the startup behind ChatGPT, has released a free web-based plagiarism checker to determine whether machines or humans wrote a text.
According to OpenAI, the web-based tool is not entirely accurate. Its performance will depend on the similarity between the analyzed text and the writing that OpenAI tools are trained to write.
Speaking about the tool, OpenAI’s CTO Mira Murati said the new tool is “not perfect, but it’s a step forward in distinguishing between AI and human-written text.” She added that the company was looking forward to reviews from its users.
We’re developing a new tool to help distinguish between AI-written and human-written text. We’re releasing an initial version to collect feedback and hope to share improved methods in the future. https://t.co/4dQE3dX6vX
— OpenAI (@OpenAI) January 31, 2023
ChatGPT’s soaring start
Since OpenAI launched ChaGPT last year, the ability of the AI tool to create spontaneous texts that look very similar to what a human would write has garnered it much acclaim. But not all of the attention has been positive.
Several stakeholders have expressed concerns about increased AI-generated misinformation. Educators are also concerned that students might start relying on AI tools and submitting plagiarized works. This has led some school districts to ban ChatGPT on their networks.
But these bans don’t have much effect on preventing the usage of ChatGPT for academic plagiarism. With the new tool from OpenAI, educators might finally have the necessary detection equipment.
How OpenAI’s tool will work
According to the company, the new tool works best on text samples in English and above 1,000 characters. It has a five-point system to measure an AI system’s likelihood of texts being generated. Apart from OpenAI, several other individuals and organizations are also working on similar tools.
Concerns about AI texts rise
Meanwhile, concerns about AI writing tools are not limited to educators. There are also concerns in some circles that the rapid development of AI writing tools might soon deprive writers of jobs as companies will opt for cheaper automation options.
A Fortune article from December 2022 predicted that ChatGPT and AI tools might take not only the jobs of writers but also has the potential to replace programmers. ChatGPT can convert human prompts into codes in several programming languages.
Will AI make writers jobless?
Expert writers believe that AI writing tools can create coherent texts based on a set of rules. It will forever remain inferior to humans when it comes to creativity.
The songwriter Nick Cave shares this view. In response to a fan who sent him a song written by ChatGPT in the style of Nick Cave, he noted that he was not enthusiastic about the new technology. He said that songs arise from a “complex, internal human struggle of creation,” which algorithms can’t feel.
“I understand that ChatGPT is in its infancy, but perhaps that is the emerging horror of AI – that it will forever be in its infancy, as it will always have further to go.”
However, some writers are more welcoming and believe that AI technologies can serve as collaborative tools for writers and help them produce something new and exciting.
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