Connect with us

Uncategorized

TikTok bans videos of Trump inciting mob, blocks #stormthecapital and other hashtags

Published

on

For obvious reasons, Trump doesn’t have a TikTok account. But the President’s speeches that helped incite the mob who yesterday stormed the U.S. Capitol will have no home on TikTok’s platform. The company confirmed to TechCrunch its content policy around the Capitol riots will see it removing videos of Trump’s speeches to supporters. It will also redirect specific hashtags used by rioters, like #stormthecapitol and #patriotparty, to reduce their content’s visibility in the app.

TikTok says that Trump’s speeches, where the President again reiterated claims of a fraudulent election, are being removed on the grounds that they violate the company’s misinformation policy. That policy defines misinformation as content that is inaccurate or false. And it explains that while TikTok encourages people to have respectful conversations on subjects that matter to them, it doesn’t permit misinformation that can cause harm to individuals, their community or the larger public.

A rioting mob intent on stopping democratic processes in the United States seems to fit squarely under that policy.

However, TikTok says it will allow what it calls “counter speech” against the Trump videos. This is a form of speech that’s often used to fight misinformation, where the creator presents the factual information or disputes the claims being made in another video. TikTok in November had allowed counter speech in response to claims from Trump supporters that the election was “rigged,” even while it blocked top hashtags that were used to promote these ideas.

In the case of Trump’s speeches, TikTok will allow a user to, for example, use the green screen effect to comment on the speech — unless those comments support the riots.

In addition, TikTok is allowing some videos of the violence that took place at the Capitol to remain. For example, if the video condemns the violence or originates from a news organization, it may be allowed. TikTok is also applying its recently launched opt-in viewing screens on “newsworthy” content that may depict graphic violence.

These screens, announced in December, appear on top of videos some viewers may find graphic or distressing. Videos with the screens applied are already eligible for TikTok’s main “For You” feed, but may not be prohibited. When viewer encounters a screen, they can just tap a button to skip the video or they can choose to “watch anyway.” (It could not provide any example of the screens in use, however.)

Anecdotally, we saw videos that showed the woman who was shot and killed yesterday appear on TikTok and then quickly disappear. But those we came across were from individual users, not news organizations. They were also not really condemning the riot — they were just direct video footage. It’s unclear if the specific videos we saw were those that TikTok itself censored or if the user chose to remove them instead.

Separately from graphic content, TikTok says it will remove videos that seek to incite, glorify, or promote violence, as those also violate its Community Guidelines. In these cases, the videos will be removed as TikTok identifies them — either via automation or user reporting.

And, as it did in November, TikTok is proactively blocking hashtags to reduce content’s visibility. It’s now blocking tags like #stormthecapitol and #patriotparty among others, and redirects those queries to its Community Guidelines. There are currently redirections across dozens of variations of those hashtags and others. The company doesn’t share its full list in order to protect its safeguards, it says.

TikTok had previously blocked tags like #stopthesteal and #QAnon, in a similar proactive manner.

We should point out that for all Twitter’s posturing about safety and moderation, it allowed Trump to return to its app, after a few key tweets were deleted. And it has yet to block hashtags associated with false claims, like #stopthesteal, which continues to work today. Facebook, on the other hand, banned Trump from Facebook and Instagram for at least two weeks. Like TikTok, it had previously blocked the #stopthesteal and #sharpiegate hashtags with a messages about its Community Standards. (Today those searches are erroring out with messages that say “This Page Isn’t Available Right Now,” we noticed.)

TikTok’s content moderation efforts have been fairly stringent in comparison with other social networks, as it regularly hides, downranks, and removes users’ posts. But it’s also been accused of engaging in “censorship” by those who believe it’s being too aggressive about newsworthy content.

That’s led to users finding more creative ways to keep their videos from being banned — like using misspellings, coded language or clever editing to route around TikTok policies. Other times, creators will simply give up and direct viewers to their Instagram where their content is backed up and less policed.

“Hateful behavior and violence have no place on TikTok,” a TikTok spokesperson told TechCrunch, when we asked for a statement on the Capitol events. “Content or accounts that seek to incite, glorify, or promote violence violate our Community Guidelines and will be removed,” they added.

 

 

Lyron Foster is a Hawaii based African American Musician, Author, Actor, Blogger, Filmmaker, Philanthropist and Multinational Serial Tech Entrepreneur.

Continue Reading
Comments

Uncategorized

Ars online IT roundtable today: What’s the future of the data center?

Published

on

Ars online IT roundtable today: What’s the future of the data center?

Enlarge

If you’re in IT, you probably remember the first time you walked into a real data center—not just a server closet, but an actual raised-floor data center, where the door wooshes open in a blast of cold air and noise and you’re confronted with rows and rows of racks, monolithic and gray, stuffed full of servers with cooling fans screaming and blinkenlights blinking like mad. The data center is where the cool stuff is—the pizza boxes, the blade servers, the NASes and the SANs. Some of its residents are more exotic—the Big Iron in all its massive forms, from Z-series to Superdome and all points in between.

For decades, data centers have been the beating hearts of many businesses—the fortified secret rooms where huge amounts of capital sit, busily transforming electricity into revenue. And they’re sometimes a place for IT to hide, too—it’s kind of a standing joke that whenever a user you don’t want to see is stalking around the IT floor, your best bet to avoid contact is just to badge into the data center and wait for them to go away. (But, uh, I never did that ever. I promise.)

But the last few years have seen a massive shift in the relationship between companies and their data—and the places where that data lives. Sure, it’s always convenient to own your own servers and storage, but why tie up all that capital when you don’t have to? Why not just go to the cloud buffet and pay for what you want to eat and nothing more?

Read 4 remaining paragraphs | Comments

Continue Reading

Uncategorized

Transforming the energy industry with AI

Published

on

For oil and gas companies, digital transformation is a priority—not only as a way to modernize the enterprise, but also to secure the entire energy ecosystem. With that lens, the urgency of applying artificial intelligence (AI) and machine learning capabilities for optimization and cybersecurity becomes clear, especially as threat actors increasingly target connected devices and operating systems, putting the oil and gas industry in collective danger. The year-over-year explosion in industry-specific attacks underscores the need for meaningful advancements and maturity in cybersecurity programs.

However, most companies don’t have the resources to implement sophisticated AI programs to stay secure and advance digital capabilities on their own. Irrespective of size, available budget, and in-house personnel, all energy companies must manage operations and security fundamentals to ensure they have visibility and monitoring across powerful digital tools to remain resilient and competitive. The achievement of that goal is much more likely in partnership with the right experts.

MIT Technology Review Insights, in association with Siemens Energy, spoke to more than a dozen information technology (IT) and cybersecurity executives at oil and gas companies worldwide to gain insight about how AI is affecting their digital transformation and cybersecurity strategies in oil and gas operating environments. Here are the key findings:

  • Oil and gas companies are under pressure to adapt to dramatic changes in the global business environment. The coronavirus pandemic dealt a stunning blow to the global economy in 2020, contributing to an extended trend of lower prices and heightening the value of increased efficiency to compensate for market pressures. Companies are now forced to operate in a business climate that necessitates remote working, with the added pressure to manage the environmental impact of operations growing ever stronger. These combined factors are pushing oil and gas companies to pivot to new, streamlined ways of working, making digital technology adoption critical.
  • As oil and gas companies digitalize, the risk of cyberattacks increases, as do opportunities for AI. Companies are adding digital technology for improved productivity, operational efficiency, and security. They’re collecting and analyzing data, connecting equipment to the internet of things, and tapping cutting-edge technologies to improve planning and increase profits, as well as to detect and mitigate threats. At the same time, the industry’s collective digital transformation is widening the surface for cybercriminals to attack. IT is under threat, as is operational technology (OT)—the computing and communications systems that manage and control equipment and industrial operations.
  • Cybersecurity must be at the core of every aspect of companies’ digital transformation strategies. The implementation of new technologies affects interdependent business and operational functions and underlying IT infrastructure. That reality calls for oil and gas companies to shift to a risk management mindset. This includes designing projects and systems within a cybersecurity risk framework that enforces companywide policies and controls. Most important, they now need to access and deploy state-of-the-art cybersecurity tools powered by AI and machine learning to stay ahead of attackers.
  • AI is optimizing and securing energy assets and IT networks for increased monitoring and visibility. Advancements in digital applications in industrial operating environments are helping improve efficiency and security, detecting machine-speed attacks amidst the complexity of the rapidly digitalizing operating environments.
  • Oil and gas companies look to external partners to guard against growing cyberthreats. Many companies have insufficient cybersecurity resources to meet their challenges head-on. “We are in a race against the speed of the attackers,” Repsol Chief Information Officer Javier García Quintela explains in the report. “We can’t provide all the cybersecurity capabilities we need from inside.” To move quickly and address their vulnerabilities, companies can find partners that can provide expertise and support as the threat environment expands.

Cybersecurity, AI, and digitalization

Energy sector organizations are presented with a major opportunity to deploy AI and build out a data strategy that optimizes production and uncovers new business models, as well as secure operational technology. Oil and gas companies are faced with unprecedented uncertainty—depressed oil and gas prices due to the coronavirus pandemic, a multiyear glut in the market, and the drive to go green—and many are making a rapid transition to digitalization as a matter of survival. From moving to the cloud to sharing algorithms, the oil and gas industry is showing there is robust opportunity for organizations to evolve with technological changes.

In the oil and gas industry, the digital revolution has enabled companies to connect physical energy assets with hardware control systems and software programs, which improves operational efficiency, reduces costs, and cuts emissions. This trend is due to the convergence of energy assets connected to OT systems, which manage, monitor, and control energy assets and critical infrastructure, and IT networks that companies use to optimize data across their corporate environments.

With billions of OT and IT data points captured from physical assets each day, oil and gas companies are now turning to built-for-purpose AI tools to provide visibility and monitoring across their industrial operating environments—both to make technologies and operations more efficient, and for protection against cyberattacks in an expanded threat landscape. Because energy companies’ business models rely on the convergence of OT and IT data, companies see AI as an important tool to gain visibility into their digital ecosystems and understand the context of their operating environments. Enterprises that build cyber-first digital deployments similarly have to accommodate emerging technologies, such as AI and machine learning, but spend less time on strategic realignment or change management.

Importantly, for oil and gas companies, AI, which may have once been reserved for specialized applications, is now optimizing everyday operations and providing critical cybersecurity defense for OT assets. Leo Simonovich, vice president and global head of industrial cyber and digital security at Siemens Energy, argues, “Oil and gas companies are becoming digital companies, and there shouldn’t be a trade-off between security and digitalization.” Therefore, Simonovich continues, “security needs to be part of the digital strategy, and security needs to scale with digitalization.”

To navigate today’s volatile business landscape, oil and gas companies need to simultaneously identify optimization opportunities and cybersecurity gaps in their digitalization strategies. That means building AI and cybersecurity into digital deployments from the ground up, not bolting them on afterward.

Download the full report.

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff.

Continue Reading

Uncategorized

Soci raises $80M for its localized marketing platform

Published

on

Soci, a startup focused on what it calls “localized marketing,” is announcing that it has raised $80 million in Series D funding.

National and global companies like Ace Hardware, Anytime Fitness, The Hertz Corporation and Nekter Juice Bar use Soci (pronounced soh-shee) to coordinate individual stores as they promote themselves through search, social media, review platforms and ad campaigns. Soci said that in 2020, it brought on more than 100 new customers, representing nearly 30,000 new locations.

Co-founder and CEO Afif Khoury told me that the pandemic was a crucial moment for the platform, with so many businesses “scrambling to find a real solution to connect with local audiences.”

One of the key advantages to Soci’s approach, Khoury said, is to allow the national marketing team to share content and assets so that each location stays true to the “national corporate personality,” while also allowing each location to express  a “local personality.” During the pandemic, businesses could share basic information about “who’s open, who’s not” while also “commiserating and expressing the humanity that’s often missing element from marketing nationally.”

“The result there was businesses that had to close, when they had their grand reopenings, people wanted to support that business,” he said. “It created a sort of bond that hopefully lasts forever.”

Khoury also emphasized that Soci has built a comprehensive platform that businesses can use to manage all their localized marketing, because “nobody wants to have seven different logins to seven different systems, especially at the local level.”

The new funding, he said, will allow Soci to make the platform even more comprehensive, both through acquisitions and integrations: “We want to connect into the CRM, the point-of-sale, the rewards program and take all that data and marry that to our search, social, reviews data to start to build a profile on a customer.”

Soci has now raised a total of $110 million. The Series D was led by JMI Equity, with participation from Ankona Capital, Seismic CEO Doug Winter and Khoury himself.

“All signs point to an equally difficult first few months of this year for restaurants and other businesses dependent on their communities,” said JMI’s Suken Vakil in a statement. “This means there will be a continued need for localized marketing campaigns that align with national brand values but also provide for community-specific messaging. SOCi’s multi-location functionality positions it as a market leader that currently stands far beyond its competitors as the must-have platform solution for multi-location franchises/brands.”

Continue Reading

Trending