Does social media listen to you

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Commentary: Is your smartphone really listening to your conversations?

It doesn't have to because we already give our phones all the information it needs to target our needs, says a researcher.

A woman talks on a phone. [Photo: Unsplash/rawpixel]

Dana Rezazadegan
Dana Rezazadegan
21 Jun 2021 02:24PM [Updated: 23 Jun 2021 09:31AM]
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MELBOURNE: Have you ever chatted with a friend about buying a certain item and been targeted with an ad for that same item the next day? If so, you may have wondered whether your smartphone was listening to you.

But is it really? Well, its no coincidence the item youd been interested in was the same one you were targeted with.

But that doesnt mean your device is actually listening to your conversations it doesnt need to. Theres a good chance youre already giving it all the information it needs.

CAN PHONES HEAR?

Most of us regularlydisclose ourinformation to a wide range of websites and apps. We do this when we grant them certain permissions, or allow cookies to track our online activities.

So-called first-party cookies allow websites to remember certain details about our interaction with the site. For instance, login cookies let you save your login details so you dont have to re-enter them each time.

READ:Apple to start enforcing new app privacy notifications in coming weeks

Third-party cookies, however, are created by domains that are external to the site youre visiting. The third party will often be a marketing company in a partnership with the first-party website or app.

The latter will host the marketers ads and grant it access to data it collects from you [which you will have given it permission to do perhaps by clicking on some innocuous looking popup].

As such, the advertiser can build a picture of your life: Your routines, wants and needs. These companies constantly seek to gauge the popularity of their products and how this varies based on factors such as a customers age, gender, height, weight, job and hobbies.

A man holds his smartphone which displays the Google home page, in this picture illustration taken in Bordeaux, Southwestern France, August 22, 2016. [Photo: REUTERS/Regis Duvignau]

By classifying and clustering this information, advertisers improve their recommendation algorithms, using something calledrecommender systemsto targetthe right customers with the right ads.

COMPUTERS WORK BEHIND THE SCENES

There are several machine-learning techniques in artificial intelligence [AI] that help systems filter and analyse your data, such as data clustering, classification, association andreinforcement learning[RL].

An RL agent cantrain itselfbased on feedback gained from user interactions, akin to how a young child will learn to repeat an action if it leads to a reward.

READ:The Big Read: Whats the big deal with data privacy? Thorny, complex issues confront citizens and governments

By viewing or pressing like on a social media post, you send a reward signal to an RL agent confirming youre attracted to the post or perhaps interested in the person who posted it. Either way, a message is sent to the RL agent about your personal interests and preferences.

If you start actively liking posts about mindfulness on a social platform, its system will learn to send you advertisements for companies that can offer related products and content.

Ad recommendations may be based on other data, too, including but not limited to: Other ads you clicked on through the platform, personal details you provided the platform [such as your age, email address, gender, location and which devices you access the platform on], information shared with the platform by other advertisers or marketing partners that already have you as a customer and specific pages or groups you have joined or liked on the platform.

In fact, AI algorithms can help marketers take huge pools of data and use them to construct your entire social network, ranking people around you based on how much you care about [interact with] them.

They can then start to target you with ads based on not only your own data, but on data collected from your friends and family members using the same platforms as you.

For example, Facebook might be able to recommend you something your friend recently bought. It didnt need to listen to a conversation between you and your friend to do this.

EXERCISING YOUR RIGHT TO PRIVACY IS A CHOICE

While app providers aresupposedto provide clear terms and conditions to users about how they collect, store and use data, nowadays its on users to be careful about which permissions they give to the apps and sites they use.

READ:Commentary: Whats behind the outrage over WhatsApps new terms and conditions

When in doubt, give permissions on an as-needed basis. It makes sense to give WhatsApp access to your camera and microphone, as it cant provide some of its services without this. But not all apps and services will ask for only what is necessary.

Perhaps you dont mind receiving targeted ads based on your data, and may find it appealing.Researchhas shown people with a more utilitarian [or practical] worldview actually prefer recommendations from AI to those from humans.

Facebook "likes" are part of data profiles which can be scraped by marketers and others AFP/ROBYN BECK

That said, its possible AI recommendations can constrain peoples choices andminimise serendipityin the long term. By presenting consumers with algorithmically curated choices of what to watch, read and stream, companies may be implicitly keeping our tastes and lifestyle within a narrower frame.

DONT WANT TO BE PREDICTED? DONT BE PREDICTABLE

There are some simple tips you can follow to limit the amount of data you share online. First, you should review your phones app permissions regularly.

Also, think twice before an app or website asks you for certain permissions, or to allow cookies. Wherever possible, avoid using your social media accounts to connect or log in to other sites and services. In most cases there will be an option to sign up via email, which could even be aburner email.

Once you do start the sign-in process, remember you only have to share as much information as is needed. And if youre sensitive about privacy, perhaps consider installing a virtual private network [VPN] on your device. This will mask your IP address and encrypt your online activities.

If you still think your phone is listening to you, theres a simple experiment you can try.

READ:Commentary: Privacy in a pandemic can I ask my GP if theyve been vaccinated for COVID-19?

Go to your phones settings and restrict access to your microphone for all your apps. Pick a product you know you havent searched for in any of your devices and talk about it out loud at some length with another person.

Make sure you repeat this process a few times. If you still dont get any targeted ads within the next few day, this suggests your phone isnt really listening to you.

It has other ways of finding out whats on your mind.

Listen to a communications researcherand a lawyer break down WhatsApp's new terms of serviceon CNA's Heart of the Matter podcast published in January this year:

Dana Rezazadegan is a Lecturer at Swinburne University of Technology. This commentary first appeared in The Conversation.


Source: CNA/cr

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