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Trump’s Twitter ban obscures the real problem: state-backed manipulation is rampant on social media

Social media censorship in the US fails to tackle the rising trend of ‘disinformation-for-hire’ cyber troops.

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Donald Trump’s controversial removal from social media platforms has reignited debate around the censorship of information published online. But the issue of disinformation and manipulation on social media goes far beyond one man’s Twitter account. And it is much more widespread than previously thought.

Since 2016, our team at the Oxford Internet Institute has monitored the rapid global proliferation of social media manipulation campaigns, which we define as the use of digital tools to influence online public behaviour. In the past four years, social media manipulation has evolved from a niche concern to a global threat to democracy and human rights.

Our latest report found that organised social media manipulation campaigns are now common across the world — identified in 81 countries in 2020, up from 70 countries in 2019. The map below shows the global distribution of these 81 countries, marked in dark blue.

In our report, we focus on the use of “cyber troops”, which are teams from the government, the military or political parties which are committed to manipulating public opinion on social media. Cyber troops regularly conduct what we call “computational propaganda” campaigns.

Computational propaganda involves the use of programmed bots or humans to spread purposefully misleading information across the internet, often on an industrial scale.

To do this, computational propagandists make use of an extensive toolkit of disinformation tools. Political bots amplify hate speech and create the impression of trending political messages on Twitter and Facebook. The illegal harvesting of data helps propagandists target messaging at specific, often vulnerable individuals and groups. Troll armies, meanwhile, are regularly deployed to suppresses political activism and the freedom of the press.

In 2020, we identified 62 countries in which state agencies themselves are using these tools to shape public opinion. In other countries included in our study, these tools are being used by private organisations, or foreign actors.

Disinformation for hire

Despite the Cambridge Analytica scandal exposing how private firms can meddle in democratic elections, our research also found an alarming increase in the use of “disinformation-for-hire” services across the world. Using government and political party funding, private-sector cyber troops are increasingly being hired to spread manipulated messages online, or to drown out other voices on social media.

Our research found state actors working with private computational propaganda companies in 48 countries in 2020, up from 21 identified between 2017 and 2018, and only nine such instances between 2016 and 2017. Since 2007, almost US$60 million (£49 million) has been spent globally on contracts with these firms.

Additionally, we’ve uncovered relationships between hired cyber troops and civil society groups who ideologically support a particular cause, such as youth groups and social media influencers. In the United States, for example, the pro-Trump youth group Turning Point Action was used to spread online disinformation and pro-Trump narratives about both COVID-19 and mail-in ballots.

To achieve their political ends, smear campaigns against a political opponent are the most common strategy employed by cyber troops, featuring in 94% of all the countries we investigated. In 90% of countries we observed the spreading of pro-party or pro-government propaganda. Suppressing participation through trolling or harassment was a feature in 73% of countries, while in 48% cyber troops’ messaging sought to polarise citizens.

Social media moderation

Clearly, debates around the censoring of Trump and his supporters on social media cover only one facet of the industry’s disinformation crisis. As more countries invest in campaigns that seek to actively mislead their citizens, social media firms are likely to face increased calls for moderation and regulation — and not just of Trump, his followers and related conspiracy theories like QAnon.

Phone shows Trump Twitter account suspended
Donald Trump was banned from Twitter in the aftermath of the Capitol riots. pcruciatti/Shutterstock

Already this year, the prevalence of computational propaganda campaigns throughout the COVID-19 pandemic and in the aftermath of the US election has prompted many social media firms to limit the misuse of their platforms by removing accounts which they believe are managed by cyber troops.

For instance, our research found that between January 2019 and December 2020, Facebook removed 10,893 accounts, 12,588 pages and 603 groups from its platform. In the same period, Twitter removed 294,096 accounts, and continues to remove accounts linked to the far right.

Despite these account removals, our research has exposed that between January 2019 and December 2020 almost US$10 million was spent by cyber troops on political advertisements. And a crucial part of the story is that social media companies continue to profit from the promotion of disinformation on their platforms. Calls for tighter regulation and firmer policing are likely to follow Facebook and Twitter until they truly get to grips with the tendency of their platforms to host, spread and multiply disinformation.

A strong, functional democracy relies upon the public’s access to high-quality information. This enables citizens to engage in informed deliberations and to seek consensus. It’s clear that social media platforms have become crucial in facilitating this information exchange.

These companies should therefore increase their efforts to flag and remove disinformation, along with all cyber troop accounts which are used to spread harmful content online. Otherwise, the continued escalation in computational propaganda campaigns that our research has revealed will only heighten political polarisation, diminish public trust in institutions, and further undermine democracy worldwide.

The Conversation

Hannah Bailey does not work for, consult, own shares in or receive funding from any company or organisation that would benefit from this article, and has disclosed no relevant affiliations beyond their academic appointment.

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Digital Currency And Gold As Speculative Warnings

Over the last few years, digital currencies and gold have become decent barometers of speculative investor appetite. Such isn’t surprising given the evolution…

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Over the last few years, digital currencies and gold have become decent barometers of speculative investor appetite. Such isn’t surprising given the evolution of the market into a “casino” following the pandemic, where retail traders have increased their speculative appetites.

“Such is unsurprising, given that retail investors often fall victim to the psychological behavior of the “fear of missing out.” The chart below shows the “dumb money index” versus the S&P 500. Once again, retail investors are very long equities relative to the institutional players ascribed to being the “smart money.””

“The difference between “smart” and “dumb money” investors shows that, more often than not, the “dumb money” invests near market tops and sells near market bottoms.”

Net Smart Dumb Money vs Market

That enthusiasm has increased sharply since last November as stocks surged in hopes that the Federal Reserve would cut interest rates. As noted by Sentiment Trader:

“Over the past 18 weeks, the straight-up rally has moved us to an interesting juncture in the Sentiment Cycle. For the past few weeks, the S&P 500 has demonstrated a high positive correlation to the ‘Enthusiasm’ part of the cycle and a highly negative correlation to the ‘Panic’ phase.”

Investor Enthusiasm

That frenzy to chase the markets, driven by the psychological bias of the “fear of missing out,” has permeated the entirety of the market. As noted in This Is Nuts:”

“Since then, the entire market has surged higher following last week’s earnings report from Nvidia (NVDA). The reason I say “this is nuts” is the assumption that all companies were going to grow earnings and revenue at Nvidia’s rate. There is little doubt about Nvidia’s earnings and revenue growth rates. However, to maintain that growth pace indefinitely, particularly at 32x price-to-sales, means others like AMD and Intel must lose market share.”

Nvidia Price To Sales

Of course, it is not just a speculative frenzy in the markets for stocks, specifically anything related to “artificial intelligence,” but that exuberance has spilled over into gold and cryptocurrencies.

Birds Of A Feather

There are a couple of ways to measure exuberance in the assets. While sentiment measures examine the broad market, technical indicators can reflect exuberance on individual asset levels. However, before we get to our charts, we need a brief explanation of statistics, specifically, standard deviation.

As I discussed in “Revisiting Bob Farrell’s 10 Investing Rules”:

“Like a rubber band that has been stretched too far – it must be relaxed in order to be stretched again. This is exactly the same for stock prices that are anchored to their moving averages. Trends that get overextended in one direction, or another, always return to their long-term average. Even during a strong uptrend or strong downtrend, prices often move back (revert) to a long-term moving average.”

The idea of “stretching the rubber band” can be measured in several ways, but I will limit our discussion this week to Standard Deviation and measuring deviation with “Bollinger Bands.”

“Standard Deviation” is defined as:

“A measure of the dispersion of a set of data from its mean. The more spread apart the data, the higher the deviation. Standard deviation is calculated as the square root of the variance.”

In plain English, this means that the further away from the average that an event occurs, the more unlikely it becomes. As shown below, out of 1000 occurrences, only three will fall outside the area of 3 standard deviations. 95.4% of the time, events will occur within two standard deviations.

Standard Deviation Chart

A second measure of “exuberance” is “relative strength.”

“In technical analysis, the relative strength index (RSI) is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is displayed as an oscillator (a line graph that moves between two extremes) and can read from 0 to 100.

Traditional interpretation and usage of the RSI are that values of 70 or above indicate that a security is becoming overbought or overvalued and may be primed for a trend reversal or corrective pullback in price. An RSI reading of 30 or below indicates an oversold or undervalued condition.” – Investopedia

With those two measures, let’s look at Nvidia (NVDA), the poster child of speculative momentum trading in the markets. Nvidia trades more than 3 standard deviations above its moving average, and its RSI is 81. The last time this occurred was in July of 2023 when Nvidia consolidated and corrected prices through November.

NVDA chart vs Bollinger Bands

Interestingly, gold also trades well into 3 standard deviation territory with an RSI reading of 75. Given that gold is supposed to be a “safe haven” or “risk off” asset, it is instead getting swept up in the current market exuberance.

Gold vs Bollinger Bands

The same is seen with digital currencies. Given the recent approval of spot, Bitcoin exchange-traded funds (ETFs), the panic bid to buy Bitcoin has pushed the price well into 3 standard deviation territory with an RSI of 73.

Bitcoin vs Bollinger Bands

In other words, the stock market frenzy to “buy anything that is going up” has spread from just a handful of stocks related to artificial intelligence to gold and digital currencies.

It’s All Relative

We can see the correlation between stock market exuberance and gold and digital currency, which has risen since 2015 but accelerated following the post-pandemic, stimulus-fueled market frenzy. Since the market, gold and cryptocurrencies, or Bitcoin for our purposes, have disparate prices, we have rebased the performance to 100 in 2015.

Gold was supposed to be an inflation hedge. Yet, in 2022, gold prices fell as the market declined and inflation surged to 9%. However, as inflation has fallen and the stock market surged, so has gold. Notably, since 2015, gold and the market have moved in a more correlated pattern, which has reduced the hedging effect of gold in portfolios. In other words, during the subsequent market decline, gold will likely track stocks lower, failing to provide its “wealth preservation” status for investors.

SP500 vs Gold

The same goes for cryptocurrencies. Bitcoin is substantially more volatile than gold and tends to ebb and flow with the overall market. As sentiment surges in the S&P 500, Bitcoin and other cryptocurrencies follow suit as speculative appetites increase. Unfortunately, for individuals once again piling into Bitcoin to chase rising prices, if, or when, the market corrects, the decline in cryptocurrencies will likely substantially outpace the decline in market-based equities. This is particularly the case as Wall Street can now short the spot-Bitcoin ETFs, creating additional selling pressure on Bitcoin.

SP500 vs Bitcoin

Just for added measure, here is Bitcoin versus gold.

Gold vs Bitcoin

Not A Recommendation

There are many narratives surrounding the markets, digital currency, and gold. However, in today’s market, more than in previous years, all assets are getting swept up into the investor-feeding frenzy.

Sure, this time could be different. I am only making an observation and not an investment recommendation.

However, from a portfolio management perspective, it will likely pay to remain attentive to the correlated risk between asset classes. If some event causes a reversal in bullish exuberance, cash and bonds may be the only place to hide.

The post Digital Currency And Gold As Speculative Warnings appeared first on RIA.

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Aging at AACR Annual Meeting 2024

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging…

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BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Credit: Impact Journals

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals

Impact Journals will be participating as an exhibitor at the American Association for Cancer Research (AACR) Annual Meeting 2024 from April 5-10 at the San Diego Convention Center in San Diego, California. This year, the AACR meeting theme is “Inspiring Science • Fueling Progress • Revolutionizing Care.”

Visit booth #4159 at the AACR Annual Meeting 2024 to connect with members of the Aging team.

About Aging-US:

Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

Aging is indexed and archived by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed CentralWeb of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Please visit our website at www.Aging-US.com​​ and connect with us:

  • Aging X
  • Aging Facebook
  • Aging Instagram
  • Aging YouTube
  • Aging LinkedIn
  • Aging SoundCloud
  • Aging Pinterest
  • Aging Reddit

Click here to subscribe to Aging publication updates.

For media inquiries, please contact media@impactjournals.com.


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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked…

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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked by the NY Fed Consumer Survey extended their late 2023 slide, with 3Y inflation expectations in January sliding to a record low 2.4% (from 2.6% in December), even as 1 and 5Y inflation forecasts remained flat, moments ago the NY Fed reported that in February there was a sharp rebound in longer-term inflation expectations, rising to 2.7% from 2.4% at the three-year ahead horizon, and jumping to 2.9% from 2.5% at the five-year ahead horizon, while the 1Y inflation outlook was flat for the 3rd month in a row, stuck at 3.0%. 

The increases in both the three-year ahead and five-year ahead measures were most pronounced for respondents with at most high school degrees (in other words, the "really smart folks" are expecting deflation soon). The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) decreased at all horizons, while the median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—declined at the one- and three-year ahead horizons and remained unchanged at the five-year ahead horizon.

Going down the survey, we find that the median year-ahead expected price changes increased by 0.1 percentage point to 4.3% for gas; decreased by 1.8 percentage points to 6.8% for the cost of medical care (its lowest reading since September 2020); decreased by 0.1 percentage point to 5.8% for the cost of a college education; and surprisingly decreased by 0.3 percentage point for rent to 6.1% (its lowest reading since December 2020), and remained flat for food at 4.9%.

We find the rent expectations surprising because it is happening just asking rents are rising across the country.

At the same time as consumers erroneously saw sharply lower rents, median home price growth expectations remained unchanged for the fifth consecutive month at 3.0%.

Turning to the labor market, the survey found that the average perceived likelihood of voluntary and involuntary job separations increased, while the perceived likelihood of finding a job (in the event of a job loss) declined. "The mean probability of leaving one’s job voluntarily in the next 12 months also increased, by 1.8 percentage points to 19.5%."

Mean unemployment expectations - or the mean probability that the U.S. unemployment rate will be higher one year from now - decreased by 1.1 percentage points to 36.1%, the lowest reading since February 2022. Additionally, the median one-year-ahead expected earnings growth was unchanged at 2.8%, remaining slightly below its 12-month trailing average of 2.9%.

Turning to household finance, we find the following:

  • The median expected growth in household income remained unchanged at 3.1%. The series has been moving within a narrow range of 2.9% to 3.3% since January 2023, and remains above the February 2020 pre-pandemic level of 2.7%.
  • Median household spending growth expectations increased by 0.2 percentage point to 5.2%. The increase was driven by respondents with a high school degree or less.
  • Median year-ahead expected growth in government debt increased to 9.3% from 8.9%.
  • The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months increased by 0.6 percentage point to 26.1%, remaining below its 12-month trailing average of 30%.
  • Perceptions about households’ current financial situations deteriorated somewhat with fewer respondents reporting being better off than a year ago. Year-ahead expectations also deteriorated marginally with a smaller share of respondents expecting to be better off and a slightly larger share of respondents expecting to be worse off a year from now.
  • The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 1.4 percentage point to 38.9%.
  • At the same time, perceptions and expectations about credit access turned less optimistic: "Perceptions of credit access compared to a year ago deteriorated with a larger share of respondents reporting tighter conditions and a smaller share reporting looser conditions compared to a year ago."

Also, a smaller percentage of consumers, 11.45% vs 12.14% in prior month, expect to not be able to make minimum debt payment over the next three months

Last, and perhaps most humorous, is the now traditional cognitive dissonance one observes with these polls, because at a time when long-term inflation expectations jumped, which clearly suggests that financial conditions will need to be tightened, the number of respondents expecting higher stock prices one year from today jumped to the highest since November 2021... which incidentally is just when the market topped out during the last cycle before suffering a painful bear market.

Tyler Durden Mon, 03/11/2024 - 12:40

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