Post Post-Truth

postfaktisch

‘Fake-news’ and ‘post-truth’ (postfaktisch) are the words dominating today many discussions about truth in communication.

' ... in post-truth [post] has a meaning more like ‘belonging to a time in which the specified concept [truth] has become unimportant or irrelevant’' (https://www.oxforddictionaries.com/press/news/2016/11/15/WOTY-16).

False information or even lies are not new in the information business. And therefore many, and many more websites help to separate wrong from right:

The Reporters’ Lab maintains a database of global fact-checking sites.

snip_factcheckingplaces

And Alexios Mantzarlis ‘collected 366 links, one for each day of the year …  to understand fact-checking in 2016′.

 

Official Statistics’ Ethical Codex

Officials Statistics collect, analyze and disseminate statistical information since long and are also confronted with wrong citations, misuse of statistics and lies. Many of the ethical codices of official statistics recommend acting against such false information.

‘In 1992, the United Nations Economic Commission for Europe (UNECE) adopted the fundamental principles of official statistics in the UNECE region. The United Nations Statistical Commission adopted these principles in 1994 at the global level. The Economic and Social Council (ECOSOC) endorsed the Fundamental Principles of Official Statistics in 2013; and in January 2014, they were adopted by General Assembly. This recognition at the highest political level underlines that official statistics – reliable and objective information – is crucial for decision making.’

snip_funprinciplesun

Two paragraphs are of special interest:

‘ 2. Professional standards and ethics
To retain trust in official statistics, the statistical agencies need to decide according to strictly professional considerations, including scientific principles and professional ethics, on the methods and procedures for the collection, processing, storage and presentation of statistical data.’

AND:

‘4. Prevention of misuse
The statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics.’

The European Statistics Code of Practice says in principle 1:

1.7: The National Statistical Institute and Eurostat and, where appropriate, other statistical authorities, comment publicly on statistical issues, including criticisms and misuses of statistics as far as considered suitable.

snip_funprinciplesess

N.B: Wikipedia’s page on Misuse of statistics presents a broad view how readers can be fooled by many types of misuse.

It’s dissemination – …

False – and especially deliberately false – information as a weapon in manipulating decisions isn’t new either. But new is how such information spreads: with the help of social media dissemination gains a new level  (some say like earlier Gutenberg’s printing press ).

Anne Applebaum gives a practical illustration of how it can work:

‘I was a victim of a Russian smear campaign. I understand the power of fake news.

It was a peculiar experience, but I learned a lot. As I watched the story move around the Web, I saw how the worlds of fake websites and fake news exist to reinforce one another and give falsehood credence. Many of the websites quoted not the original, dodgy source, but one another. There were more phony sites than I’d realized, though I also learned that many of their “followers” (maybe even most of them) are bots — bits of computer code that can be programmed to imitate human social media accounts and told to pass on particular stories.
….
But it is also true that we are living through a global media revolution, that people are hearing and digesting political information in brand-new ways and that nobody yet understands the consequences. Fake stories are easier to create, fake websites can be designed to host them, and social media rapidly disseminates disinformation that people trust because they get it from friends. This radical revolution has happened without many politicians noticing or caring — unless, like me, they happened to have seen how the new system of information exchange works.’

 

2017

May 2017 become the year of people who know about the power and the dangers of misleading information!
My best wishes to the colleagues in Official Statistics and their professional producing and disseminating information …. and perhaps statistical dissemination will need to be more active on social media, too.

 

 

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s