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On Facebook and foreign propaganda: Here’s how algorithms can manipulate you – Rappler

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An internal Facebook report found that the social media platform’s algorithms – the rules its computers follow in deciding the content that you see – enabled disinformation campaigns based in Eastern Europe to reach nearly half of all Americans in the run-up to the 2020 presidential election, according to a report in Technology Review.

The campaigns produced the most popular pages for Christian and Black American content, and overall reached 140 million U.S. users per month. Seventy-five percent of the people exposed to the content hadn’t followed any of the pages. People saw the content because Facebook’s content-recommendation system put it into their news feeds.

Social media platforms rely heavily on people’s behavior to decide on the content that you see. In particular, they watch for content that people respond to or “engage” with by liking, commenting and sharing. Troll farms, organizations that spread provocative content, exploit this by copying high-engagement content and posting it as their own.

As a computer scientist who studies the ways large numbers of people interact using technology, I understand the logic of using the wisdom of the crowds in these algorithms. I also see substantial pitfalls in how the social media companies do so in practice.

From lions on the savanna to Likes on Facebook
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Throughout millions of years of evolution, these principles have been coded into the human brain in the form of cognitive biases that come with names like familiaritymere exposure and bandwagon effect. If everyone starts running, you should also start running; maybe someone saw a lion coming and running could save your life. You may not know why, but it’s wiser to ask questions later.

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Your brain picks up clues from the environment – including your peers – and uses simple rules to quickly translate those signals into decisions: Go with the winner, follow the majority, copy your neighbor. These rules work remarkably well in typical situations because they are based on sound assumptions. For example, they assume that people often act rationally, it is unlikely that many are wrong, the past predicts the future, and so on.

Technology allows people to access signals from much larger numbers of other people, most of whom they do not know. Artificial intelligence applications make heavy use of these popularity or “engagement” signals, from selecting search engine results to recommending music and videos, and from suggesting friends to ranking posts on news feeds.

Not everything viral deserves to be

Our research shows that virtually all web technology platforms, such as social media and news recommendation systems, have a strong popularity bias. When applications are driven by cues like engagement rather than explicit search engine queries, popularity bias can lead to harmful unintended consequences.

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Social media like Facebook, Instagram, Twitter, YouTube and TikTok rely heavily on AI algorithms to rank and recommend content. These algorithms take as input what you like, comment on and share – in other words, content you engage with. The goal of the algorithms is to maximize engagement by finding out what people like and ranking it at the top of their feeds.

On the surface this seems reasonable. If people like credible news, expert opinions and fun videos, these algorithms should identify such high-quality content. But the wisdom of the crowds makes a key assumption here: that recommending what is popular will help high-quality content “bubble up.”

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We tested this assumption by studying an algorithm that ranks items using a mix of quality and popularity. We found that in general, popularity bias is more likely to lower the overall quality of content. The reason is that engagement is not a reliable indicator of quality when few people have been exposed to an item. In these cases, engagement generates a noisy signal, and the algorithm is likely to amplify this initial noise. Once the popularity of a low-quality item is large enough, it will keep getting amplified.

Algorithms aren’t the only thing affected by engagement bias – it can affect people too. Evidence shows that information is transmitted via “complex contagion,” meaning the more times people are exposed to an idea online, the more likely they are to adopt and reshare it. When social media tells people an item is going viral, their cognitive biases kick in and translate into the irresistible urge to pay attention to it and share it.

We recently ran an experiment using a news literacy app called Fakey. It is a game developed by our lab, which simulates a news feed like those of Facebook and Twitter. Players see a mix of current articles from fake news, junk science, hyperpartisan and conspiratorial sources, as well as mainstream sources. They get points for sharing or liking news from reliable sources and for flagging low-credibility articles for fact-checking.

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The wisdom of the crowds fails because it is built on the false assumption that the crowd is made up of diverse, independent sources. There may be several reasons this is not the case.

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First, because of people’s tendency to associate with similar people, their online neighborhoods are not very diverse. The ease with which social media users can unfriend those with whom they disagree pushes people into homogeneous communities, often referred to as echo chambers.

Second, because many people’s friends are friends of one another, they influence one another. A famous experiment demonstrated that knowing what music your friends like affects your own stated preferences. Your social desire to conform distorts your independent judgment.

Third, popularity signals can be gamed. Over the years, search engines have developed sophisticated techniques to counter so-called “link farms” and other schemes to manipulate search algorithms. Social media platforms, on the other hand, are just beginning to learn about their own vulnerabilities.

A different, preventive approach would be to add friction. In other words, to slow down the process of spreading information. High-frequency behaviors such as automated liking and sharing could be inhibited by CAPTCHA tests or fees. Not only would this decrease opportunities for manipulation, but with less information people would be able to pay more attention to what they see. It would leave less room for engagement bias to affect people’s decisions.

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It would also help if social media companies adjusted their algorithms to rely less on engagement to determine the content they serve you. Perhaps the revelations of Facebook’s knowledge of troll farms exploiting engagement will provide the necessary impetus. – Rappler.com

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Understanding Authorization Tokens and Access for the WhatsApp Business Platform

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The WhatsApp Business Platform makes it easy to send WhatsApp messages to your customers and automate replies. Here, we’ll explore authentication using the Cloud API, hosted by Meta.

We’ll start with generating and using a temporary access token and then replace it with a permanent access token. This tutorial assumes you’re building a server-side application and won’t need additional steps to keep your WhatsApp application secrets securely stored.

Managing Access and Authorization Tokens

First, let’s review how to manage authorization tokens and safely access the API.

Prerequisites

Start by making sure you have a developer account on Meta for Developers. You’ll also need WhatsApp installed on a mobile device to send test messages to.

Creating an App

Before you can authenticate, you’ll need an application to authenticate you.

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Once you’re signed in, you see the Meta for Developers App Dashboard. Click Create App to get started.

Next, you’ll need to choose an app type. Choose Business.

After that, enter a display name for your application. If you have a business account to link to your app, select it. If not, don’t worry. The Meta for Developers platform creates a test business account you can use to experiment with the API. When done, click Create App.

Then, you’ll need to add products to your app. Scroll down until you see WhatsApp and click the Set up button:

Finally, choose an existing Meta Business Account or ask the platform to create a new one and click Continue:

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And with that, your app is created and ready to use. You’re automatically directed to the app’s dashboard.

Note that you have a temporary access token. For security reasons, the token expires in less than 24 hours. However, you can use it for now to test accessing the API. Later, we’ll cover how to generate a permanent access token that your server applications can use. Also, note your app’s phone number ID because you’ll need it soon.

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Click the dropdown under the To field, and then click Manage phone number list.

In the popup that appears, enter the phone number of a WhatsApp account to send test messages to.

Then, scroll further down the dashboard page and you’ll see an example curl call that looks similar to this:

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curl -i -X POST https://graph.facebook.com/v13.0//messages -H 'Authorization: Bearer ' -H 'Content-Type: application/json' -d '{ "messaging_product": "whatsapp", "to": "", "type": "template", "template": { "name": "hello_world", "language": { "code": "en_US" } } }'

Note that the Meta for Developers platform inserts your app’s phone number ID and access token instead of the and placeholders shown above. If you have curl installed, paste the command into your terminal and run it. You should receive a “hello world” message in WhatsApp on your test device.

If you’d prefer, you can convert the curl request into an HTTP request in your programming language by simply creating a POST request that sets the Authorization and Content-Type headers as shown above, including the JSON payload in the request body.

Since this post is about authentication, let’s focus on that. Notice that you’ve included your app’s access token in the Authorization header. For any request to the API, you must set the Authorization header to Bearer .

Remember that you must use your token instead of the placeholder. Using bearer tokens will be familiar if you’ve worked with JWT or OAuth2 tokens before. If you’ve never seen one before, a bearer token is essentially a random secret string that you, as the bearer of the token, can present to an API to prove you’re allowed to access it.

Failure to include this header causes the API to return a 401 Unauthorized response code.

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Creating a Permanent Access Token

Knowing that you need to use a bearer token in the Authorization header of an HTTP request is helpful, but it’s not enough. The only access token you’ve seen so far is temporary. Chances are that you want your app to access the API for more than 24 hours, so you need to generate a longer-lasting access token.

Fortunately, the Meta for Developers platform makes this easy. All you need to do is add a System User to your business account to obtain an access token you can use to continue accessing the API. To create a system user, do the following:

  • Go to Business Settings.

  • Select the business account your app is associated with.
  • Below Users, click System Users.
  • Click Add.
  • Name the system user, choose Admin as the user role, and click Create System User.
  • Select the whatsapp_business_messaging permission.
  • Click Generate New Token.
  • Copy and save your token.

Your access token is a random string of letters and numbers. Now, try re-running the earlier request using the token you just created instead of the temporary one:

curl -i -X POST https://graph.facebook.com/v13.0//messages -H 'Authorization: Bearer ' -H 'Content-Type: application/json' -d '{ "messaging_product": "whatsapp", "to": "", "type": "template", "template": { "name": "hello_world", "language": { "code": "en_US" } } }'

Your test device should receive a second hello message sent via the API.

Best Practices for Managing Access Tokens

It’s important to remember that you should never embed an App Access Token in a mobile or desktop application. These tokens are only for use in server-side applications that communicate with the API. Safeguard them the same way you would any other application secrets, like your database credentials, as anyone with your token has access to the API as your business.

If your application runs on a cloud services provider like AWS, Azure, GCP, or others, those platforms have tools to securely store app secrets. Alternatively there are freely-available secret stores like Vault or Conjur. While any of these options may work for you, it’s important to evaluate your options and choose what works best for your setup. At the very least, consider storing access tokens in environment variables and not in a database or a file where they’re easy to find during a data breach.

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Conclusion

In this post, you learned how to create a Meta for Developers app that leverages the WhatsApp Business Platform. You now know how the Cloud API’s bearer access tokens work, how to send an access token using an HTTP authorization header, and what happens if you send an invalid access token. You also understand the importance of keeping your access tokens safe since an access token allows an application to access a business’ WhatsApp messaging capabilities.

Why not try using the Cloud API, hosted by Meta if you’re considering building an app for your business to manage WhatsApp messaging? Now that you know how to obtain and use access tokens, you can use them to access any endpoint in the API.

First seen at developers.facebook.com

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Now people can share directly to Instagram Reels from some of their favorite apps

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More people are creating, sharing and watching Reels than ever before. We’ve seen the creator community dive deeply into video content – and use it to connect with their communities. We’re running a limited alpha test that lets creators share video content directly from select integrated apps to Instagram Reels. Now, creators won’t be interrupted in their workflow, making it easier for them share share and express themselves on Reels.

“With the shift to video happening across almost all online platforms, our innovative tools and services empower creativity and fuel the creator economy and we are proud to be able to offer a powerful editing tool like Videoleap that allows seamless content creation, while partnering with companies like Meta to make sharing content that much easier.”- Zeev Farbman, CEO and co-founder of Lightricks.

Starting this month, creators can share short videos directly to Instagram Reels from some of their favorite apps, including Videoleap, Reface, Smule, VivaVideo, SNOW, B612, VITA and Zoomerang, with more coming soon. These apps and others also allow direct sharing to Facebook , which is available for any business with a registered Facebook App to use.

We hope to expand this test to more partners in 2023. If you’re interested in being a part of that beta program, please fill out this form and we will keep track of your submission. We do not currently have information to share about general availability of this integration.

Learn more here about sharing Stories and Reels to Facebook and Instagram and start building today.

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FAQs

Q. What is the difference between the Instagram Content Publishing API and Instagram Sharing to Reels?

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A: Sharing to Reels is different from the Instagram Content Publishing API, which allows Instagram Business accounts to schedule and publish posts to Instagram from third-party platforms. Sharing to Reels is specifically for mobile apps to display a ‘Share to Reels’ widget. The target audience for the Share to Reels widget is consumers, whereas the Content Publishing API is targeted towards businesses, including third-party publishing platforms such as Hootsuite and Sprout Social that consolidate sharing to social media platforms within their third-party app.

Q: Why is Instagram partnering with other apps?

A: Creators already use a variety of apps to create and edit videos before uploading them to Instagram Reels – now we’re making that experience faster and easier. We are currently doing a small test of an integration with mobile apps that creators know and love, with more coming soon.

Q: How can I share my video from another app to Reels on Instagram?

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A: How it works (Make sure to update the mobile app you’re using to see the new Share to Reels option):

  • Create and edit your video in one of our partner apps
  • Once your video is ready, tap share and then tap the Instagram Reels icon
  • You will enter the Instagram Camera, where you can customize your reel with audio, effects, Voiceover and stickers. Record any additional clips or swipe up to add an additional clip from your camera roll.
  • Tap ‘Next’ to add a caption, hashtag, location, tag others or use the paid partnerships label.
  • Tap ‘Share’. Your reel will be visible where you share reels today, depending on your privacy settings.
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Q: How were partners selected?

A. We are currently working with a small group of developers that focus on video creation and editing as early partners. We’ll continue to expand to apps with other types of creation experiences.

Q: When will other developers be able to access Sharing to Reels on Instagram?

A: We do not currently have a date for general availability, but are planning to expand further in 2023.

Q: Can you share to Facebook Reels from other apps?

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A: Yes, Facebook offers the ability for developers to integrate with Sharing to Reels. For more information on third-party sharing opportunities, check out our entire suite of sharing offerings .

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What to know about Presto SQL query engine and PrestoCon

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The open source Presto SQL query engine is used by a diverse set of companies to navigate increasingly large data workflows. These companies are using Presto in support of e-commerce, cloud, security and other areas. Not only do many companies use Presto, but individuals from those companies are also active contributors to the Presto open source community.

In support of that community, Presto holds meetups around the world and has an annual conference, PrestoCon, where experts and contributors gather to exchange knowledge. This year’s PrestoCon, hosted by the Linux Foundation, takes place December 7-8 in Mountain View, CA. This blog post will explore some foundational elements of Presto and what to expect at this year’s PrestoCon.

What is Presto?

Presto is a distributed SQL query engine for data platform teams. Presto users can perform interactive queries on data where it lives using ANSI SQL across federated and diverse sources. Query engines allow data scientists and analysts to focus on building dashboards and utilizing BI tools so that data engineers can focus on storage and management, all while communicating through a unified connection layer.

In short, the scientist does not have to consider how or where data is stored, and the engineer does not have to optimize for every use case for the data sources they manage. You can learn more about Presto in a recent ELI5 video below.

Caption: Watch the video by clicking on the image above.

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Presto was developed to solve the problem of petabyte-scale, multi-source data queries taking hours or days to return. These resources and time constraints make real-time analysis impossible. Presto can return results from those same queries in less than a second in most cases, allowing for interactive data exploration.

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Not only is it highly scalable, but it’s also extensible, allowing you to build your own connector for any data source Presto does not already support. At a low level, Presto also supports a wide range of file types for query processing. Presto was open sourced by Meta and later donated to the Linux Foundation in September of 2019.

Here are some Presto resources for those who are new to the community:

What is PrestoCon?

PrestoCon is held annually in the Bay Area and hosted by the Linux Foundation. This year, the event takes place December 7-8 at the Computer History Museum. You can register here. Each year at PrestoCon, you can hear about the latest major evolutions of the platform, how different organizations use Presto and what plans the Technical Steering Committee has for Presto in the coming year.

Presto’s scalability is especially apparent as every year we hear from small startups, as well as industry leaders like Meta and Uber, who are using the Presto platform for different use cases, whether those are small or large. If you’re looking to contribute to open source, PrestoCon is a great opportunity for networking as well as hearing the vision that the Technical Steering Committee has for the project in the coming year.

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Explore what’s happening at PrestoCon 2022:

Where is Presto used?

Since its release in November of 2013, Presto has been used as an integral part of big data pipelines within Meta and other massive-scale companies, including Uber and Twitter.

The most common use case is connecting business intelligence tools to vast data sets within an organization. This enables crucial questions to be answered faster and data-driven decision-making can be more efficient.

How does Presto work?

First, a coordinator takes your statement and parses it into a query. The internal planner generates an optimized plan as a series of stages, which are further separated into tasks. Tasks are then assigned to workers to process in parallel.

Workers then use the relevant connector to pull data from the source.

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The output of each task is returned by the workers, until the stage is complete. The stage’s output is returned by the final worker towards the next stage, where another series of tasks must be executed.

The results of stages are combined, eventually returning the final result of the original statement to the coordinator, which then returns to the client.

How do I get involved?

To start using Presto, go to prestodb.io and click Get Started.

We would love for you to join the Presto Slack channel if you have any questions or need help. Visit the community page on the Presto website to see all the ways you can get involved and find other users and developers interested in Presto.

If you would like to contribute, go to the GitHub repository and read over the Contributors’ Guide.

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Where can I learn more?

To learn more about Presto, check out its website for installation guides, user guides, conference talks and samples.

Make sure you check out previous Presto talks, and attend the annual PrestoCon event if you are able to do so.

To learn more about Meta Open Source, visit our open source site, subscribe to our YouTube channel, or follow us on Twitter, Facebook and LinkedIn.

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